Overview

Dataset statistics

Number of variables104
Number of observations1052
Missing cells836
Missing cells (%)0.8%
Total size in memory854.9 KiB
Average record size in memory832.1 B

Variable types

Text104

Reproduction

Analysis started2024-01-01 13:24:18.326919
Analysis finished2024-01-01 13:24:23.925116
Duration5.6 seconds
Software versionydata-profiling v0.0.dev0
Download configurationconfig.json

Variables

Distinct756
Distinct (%)71.9%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
2024-01-01T21:24:24.872846image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Length

Max length16
Median length15
Mean length14.8973384
Min length13

Characters and Unicode

Total characters15672
Distinct characters13
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique574 ?
Unique (%)54.6%

Sample

1st row1/13/2021 14:25
2nd row1/13/2021 14:37
3rd row1/17/2021 19:04
4th row1/17/2021 19:09
5th row1/18/2021 12:08
ValueCountFrequency (%)
1/20/2021 383
 
18.2%
1/21/2021 235
 
11.2%
2/19/2021 94
 
4.5%
2/21/2021 79
 
3.8%
1/23/2021 36
 
1.7%
1/22/2021 29
 
1.4%
1/7/2022 29
 
1.4%
1/26/2021 22
 
1.0%
1/19/2021 22
 
1.0%
4/23/2021 13
 
0.6%
Other values (583) 1162
55.2%
2024-01-01T21:24:25.989505image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 3847
24.5%
1 3645
23.3%
/ 2104
13.4%
0 1806
11.5%
1052
 
6.7%
: 1052
 
6.7%
4 492
 
3.1%
3 447
 
2.9%
5 414
 
2.6%
9 258
 
1.6%
Other values (3) 555
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 11464
73.1%
Other Punctuation 3156
 
20.1%
Space Separator 1052
 
6.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 3847
33.6%
1 3645
31.8%
0 1806
15.8%
4 492
 
4.3%
3 447
 
3.9%
5 414
 
3.6%
9 258
 
2.3%
7 196
 
1.7%
6 188
 
1.6%
8 171
 
1.5%
Other Punctuation
ValueCountFrequency (%)
/ 2104
66.7%
: 1052
33.3%
Space Separator
ValueCountFrequency (%)
1052
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 15672
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 3847
24.5%
1 3645
23.3%
/ 2104
13.4%
0 1806
11.5%
1052
 
6.7%
: 1052
 
6.7%
4 492
 
3.1%
3 447
 
2.9%
5 414
 
2.6%
9 258
 
1.6%
Other values (3) 555
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 15672
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 3847
24.5%
1 3645
23.3%
/ 2104
13.4%
0 1806
11.5%
1052
 
6.7%
: 1052
 
6.7%
4 492
 
3.1%
3 447
 
2.9%
5 414
 
2.6%
9 258
 
1.6%
Other values (3) 555
 
3.5%
Distinct960
Distinct (%)91.3%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
2024-01-01T21:24:26.611698image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Length

Max length37
Median length34
Mean length23.13403042
Min length14

Characters and Unicode

Total characters24337
Distinct characters55
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique877 ?
Unique (%)83.4%

Sample

1st rowtest@gmail.com
2nd rowliyanashuib@gmail.com
3rd rowazirasuhot@gmail.com
4th rowhaslina_m@um.edu.my
5th rownoorain277@um.edu.my
ValueCountFrequency (%)
wie180036@siswa.um.edu.my 4
 
0.4%
arinaariesyha6@gmail.com 3
 
0.3%
dpm19086008@mahsastudent.edu.my 3
 
0.3%
janeesamin@gmail.com 3
 
0.3%
eizzahamin99@gmail.com 3
 
0.3%
piaabalqis@gmail.com 3
 
0.3%
meowfaa@gmail.con 3
 
0.3%
aaasnathaniel@gmail.com 3
 
0.3%
nrl.ezrina08@gmail.com 2
 
0.2%
ikhmalzzz20@gmail.com 2
 
0.2%
Other values (950) 1023
97.2%
2024-01-01T21:24:27.526882image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2838
 
11.7%
m 2491
 
10.2%
i 2123
 
8.7%
. 1645
 
6.8%
l 1125
 
4.6%
@ 1052
 
4.3%
o 1002
 
4.1%
u 984
 
4.0%
s 929
 
3.8%
c 851
 
3.5%
Other values (45) 9297
38.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 18609
76.5%
Decimal Number 2977
 
12.2%
Other Punctuation 2697
 
11.1%
Uppercase Letter 40
 
0.2%
Connector Punctuation 13
 
0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2838
15.3%
m 2491
13.4%
i 2123
11.4%
l 1125
 
6.0%
o 1002
 
5.4%
u 984
 
5.3%
s 929
 
5.0%
c 851
 
4.6%
g 829
 
4.5%
n 816
 
4.4%
Other values (16) 4621
24.8%
Uppercase Letter
ValueCountFrequency (%)
T 8
20.0%
P 8
20.0%
U 6
15.0%
A 4
10.0%
I 2
 
5.0%
S 2
 
5.0%
F 2
 
5.0%
D 1
 
2.5%
M 1
 
2.5%
J 1
 
2.5%
Other values (5) 5
12.5%
Decimal Number
ValueCountFrequency (%)
0 802
26.9%
2 453
15.2%
1 403
13.5%
9 244
 
8.2%
3 211
 
7.1%
5 197
 
6.6%
8 190
 
6.4%
7 169
 
5.7%
4 157
 
5.3%
6 151
 
5.1%
Other Punctuation
ValueCountFrequency (%)
. 1645
61.0%
@ 1052
39.0%
Connector Punctuation
ValueCountFrequency (%)
_ 13
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 18649
76.6%
Common 5688
 
23.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2838
15.2%
m 2491
13.4%
i 2123
11.4%
l 1125
 
6.0%
o 1002
 
5.4%
u 984
 
5.3%
s 929
 
5.0%
c 851
 
4.6%
g 829
 
4.4%
n 816
 
4.4%
Other values (31) 4661
25.0%
Common
ValueCountFrequency (%)
. 1645
28.9%
@ 1052
18.5%
0 802
14.1%
2 453
 
8.0%
1 403
 
7.1%
9 244
 
4.3%
3 211
 
3.7%
5 197
 
3.5%
8 190
 
3.3%
7 169
 
3.0%
Other values (4) 322
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 24337
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2838
 
11.7%
m 2491
 
10.2%
i 2123
 
8.7%
. 1645
 
6.8%
l 1125
 
4.6%
@ 1052
 
4.3%
o 1002
 
4.1%
u 984
 
4.0%
s 929
 
3.8%
c 851
 
3.5%
Other values (45) 9297
38.2%
Distinct1
Distinct (%)0.1%
Missing16
Missing (%)1.5%
Memory size8.3 KiB
2024-01-01T21:24:27.739275image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters5180
Distinct characters4
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowAgree
2nd rowAgree
3rd rowAgree
4th rowAgree
5th rowAgree
ValueCountFrequency (%)
agree 1036
100.0%
2024-01-01T21:24:28.113040image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 2072
40.0%
A 1036
20.0%
g 1036
20.0%
r 1036
20.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 4144
80.0%
Uppercase Letter 1036
 
20.0%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 2072
50.0%
g 1036
25.0%
r 1036
25.0%
Uppercase Letter
ValueCountFrequency (%)
A 1036
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 5180
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 2072
40.0%
A 1036
20.0%
g 1036
20.0%
r 1036
20.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5180
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 2072
40.0%
A 1036
20.0%
g 1036
20.0%
r 1036
20.0%

Gender
Text

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
2024-01-01T21:24:28.363686image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Length

Max length6
Median length6
Mean length5.330798479
Min length4

Characters and Unicode

Total characters5608
Distinct characters6
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowFemale
2nd rowFemale
3rd rowFemale
4th rowFemale
5th rowFemale
ValueCountFrequency (%)
female 700
66.5%
male 352
33.5%
2024-01-01T21:24:28.826027image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 1752
31.2%
a 1052
18.8%
l 1052
18.8%
F 700
 
12.5%
m 700
 
12.5%
M 352
 
6.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 4556
81.2%
Uppercase Letter 1052
 
18.8%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 1752
38.5%
a 1052
23.1%
l 1052
23.1%
m 700
 
15.4%
Uppercase Letter
ValueCountFrequency (%)
F 700
66.5%
M 352
33.5%

Most occurring scripts

ValueCountFrequency (%)
Latin 5608
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 1752
31.2%
a 1052
18.8%
l 1052
18.8%
F 700
 
12.5%
m 700
 
12.5%
M 352
 
6.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5608
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 1752
31.2%
a 1052
18.8%
l 1052
18.8%
F 700
 
12.5%
m 700
 
12.5%
M 352
 
6.3%
Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
2024-01-01T21:24:29.189115image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Length

Max length19
Median length13
Mean length13.67110266
Min length3

Characters and Unicode

Total characters14382
Distinct characters23
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowUndergraduate
2nd rowPostgraduate
3rd rowPostgraduate
4th rowPostgraduate
5th rowPostgraduate
ValueCountFrequency (%)
undergraduate 901
85.6%
certificate/diploma 134
 
12.7%
master 9
 
0.9%
postgraduate 5
 
0.5%
phd 3
 
0.3%
2024-01-01T21:24:29.719663image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2089
14.5%
e 2084
14.5%
r 1950
13.6%
d 1807
12.6%
t 1188
8.3%
g 906
6.3%
u 906
6.3%
U 901
6.3%
n 901
6.3%
i 402
 
2.8%
Other values (13) 1248
8.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 13059
90.8%
Uppercase Letter 1189
 
8.3%
Other Punctuation 134
 
0.9%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2089
16.0%
e 2084
16.0%
r 1950
14.9%
d 1807
13.8%
t 1188
9.1%
g 906
6.9%
u 906
6.9%
n 901
6.9%
i 402
 
3.1%
o 139
 
1.1%
Other values (7) 687
 
5.3%
Uppercase Letter
ValueCountFrequency (%)
U 901
75.8%
D 137
 
11.5%
C 134
 
11.3%
M 9
 
0.8%
P 8
 
0.7%
Other Punctuation
ValueCountFrequency (%)
/ 134
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 14248
99.1%
Common 134
 
0.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2089
14.7%
e 2084
14.6%
r 1950
13.7%
d 1807
12.7%
t 1188
8.3%
g 906
6.4%
u 906
6.4%
U 901
6.3%
n 901
6.3%
i 402
 
2.8%
Other values (12) 1114
7.8%
Common
ValueCountFrequency (%)
/ 134
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14382
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2089
14.5%
e 2084
14.5%
r 1950
13.6%
d 1807
12.6%
t 1188
8.3%
g 906
6.3%
u 906
6.3%
U 901
6.3%
n 901
6.3%
i 402
 
2.8%
Other values (13) 1248
8.7%
Distinct168
Distinct (%)16.0%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
2024-01-01T21:24:30.279107image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Length

Max length47
Median length35
Mean length19.27376426
Min length2

Characters and Unicode

Total characters20276
Distinct characters59
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique108 ?
Unique (%)10.3%

Sample

1st rowVeterinary
2nd rowComputing
3rd rowComputing
4th row3:00
5th rowHumanities
ValueCountFrequency (%)
technology 219
 
10.4%
computer 215
 
10.2%
science/information 214
 
10.1%
and 208
 
9.9%
architecture 104
 
4.9%
building 103
 
4.9%
engineering 93
 
4.4%
economy 69
 
3.3%
education 62
 
2.9%
science 61
 
2.9%
Other values (138) 762
36.1%
2024-01-01T21:24:31.073538image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
n 2111
 
10.4%
i 1747
 
8.6%
e 1730
 
8.5%
o 1584
 
7.8%
c 1379
 
6.8%
t 1138
 
5.6%
1095
 
5.4%
r 1028
 
5.1%
a 1009
 
5.0%
u 757
 
3.7%
Other values (49) 6698
33.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 16709
82.4%
Uppercase Letter 2241
 
11.1%
Space Separator 1095
 
5.4%
Other Punctuation 226
 
1.1%
Decimal Number 3
 
< 0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
S 407
18.2%
I 274
12.2%
E 264
11.8%
T 262
11.7%
C 247
11.0%
A 238
10.6%
B 174
7.8%
L 82
 
3.7%
M 55
 
2.5%
P 41
 
1.8%
Other values (15) 197
8.8%
Lowercase Letter
ValueCountFrequency (%)
n 2111
12.6%
i 1747
10.5%
e 1730
10.4%
o 1584
9.5%
c 1379
 
8.3%
t 1138
 
6.8%
r 1028
 
6.2%
a 1009
 
6.0%
u 757
 
4.5%
g 677
 
4.1%
Other values (14) 3549
21.2%
Other Punctuation
ValueCountFrequency (%)
/ 214
94.7%
& 7
 
3.1%
, 3
 
1.3%
' 1
 
0.4%
: 1
 
0.4%
Decimal Number
ValueCountFrequency (%)
0 2
66.7%
3 1
33.3%
Space Separator
ValueCountFrequency (%)
1095
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 18950
93.5%
Common 1326
 
6.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
n 2111
 
11.1%
i 1747
 
9.2%
e 1730
 
9.1%
o 1584
 
8.4%
c 1379
 
7.3%
t 1138
 
6.0%
r 1028
 
5.4%
a 1009
 
5.3%
u 757
 
4.0%
g 677
 
3.6%
Other values (39) 5790
30.6%
Common
ValueCountFrequency (%)
1095
82.6%
/ 214
 
16.1%
& 7
 
0.5%
, 3
 
0.2%
0 2
 
0.2%
( 1
 
0.1%
' 1
 
0.1%
3 1
 
0.1%
: 1
 
0.1%
) 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 20276
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
n 2111
 
10.4%
i 1747
 
8.6%
e 1730
 
8.5%
o 1584
 
7.8%
c 1379
 
6.8%
t 1138
 
5.6%
1095
 
5.4%
r 1028
 
5.1%
a 1009
 
5.0%
u 757
 
3.7%
Other values (49) 6698
33.0%
Distinct238
Distinct (%)22.7%
Missing2
Missing (%)0.2%
Memory size8.3 KiB
2024-01-01T21:24:31.589070image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Length

Max length53
Median length49
Mean length16.71809524
Min length1

Characters and Unicode

Total characters17554
Distinct characters57
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique161 ?
Unique (%)15.3%

Sample

1st rowtest
2nd rowUM
3rd rowUM
4th rowUniversity Malaya
5th rowUM
ValueCountFrequency (%)
malaya 560
21.7%
university 453
17.6%
of 303
11.7%
universiti 181
 
7.0%
uitm 133
 
5.2%
um 88
 
3.4%
mara 73
 
2.8%
pasir 69
 
2.7%
mas 67
 
2.6%
kolej 62
 
2.4%
Other values (145) 590
22.9%
2024-01-01T21:24:32.299676image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2124
 
12.1%
i 1775
 
10.1%
1633
 
9.3%
y 981
 
5.6%
M 939
 
5.3%
U 884
 
5.0%
n 858
 
4.9%
e 814
 
4.6%
r 781
 
4.4%
s 777
 
4.4%
Other values (47) 5988
34.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 11779
67.1%
Uppercase Letter 4101
 
23.4%
Space Separator 1633
 
9.3%
Other Punctuation 13
 
0.1%
Open Punctuation 11
 
0.1%
Close Punctuation 11
 
0.1%
Decimal Number 4
 
< 0.1%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2124
18.0%
i 1775
15.1%
y 981
8.3%
n 858
7.3%
e 814
 
6.9%
r 781
 
6.6%
s 777
 
6.6%
t 744
 
6.3%
l 694
 
5.9%
v 588
 
5.0%
Other values (14) 1643
13.9%
Uppercase Letter
ValueCountFrequency (%)
M 939
22.9%
U 884
21.6%
A 403
9.8%
I 356
 
8.7%
T 261
 
6.4%
K 185
 
4.5%
S 176
 
4.3%
R 135
 
3.3%
N 123
 
3.0%
E 104
 
2.5%
Other values (14) 535
13.0%
Decimal Number
ValueCountFrequency (%)
5 1
25.0%
0 1
25.0%
9 1
25.0%
1 1
25.0%
Space Separator
ValueCountFrequency (%)
1633
100.0%
Other Punctuation
ValueCountFrequency (%)
, 13
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 15880
90.5%
Common 1674
 
9.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2124
13.4%
i 1775
 
11.2%
y 981
 
6.2%
M 939
 
5.9%
U 884
 
5.6%
n 858
 
5.4%
e 814
 
5.1%
r 781
 
4.9%
s 777
 
4.9%
t 744
 
4.7%
Other values (38) 5203
32.8%
Common
ValueCountFrequency (%)
1633
97.6%
, 13
 
0.8%
( 11
 
0.7%
) 11
 
0.7%
- 2
 
0.1%
5 1
 
0.1%
0 1
 
0.1%
9 1
 
0.1%
1 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 17554
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2124
 
12.1%
i 1775
 
10.1%
1633
 
9.3%
y 981
 
5.6%
M 939
 
5.3%
U 884
 
5.0%
n 858
 
4.9%
e 814
 
4.6%
r 781
 
4.4%
s 777
 
4.4%
Other values (47) 5988
34.1%
Distinct77
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
2024-01-01T21:24:33.059003image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Length

Max length27
Median length8
Mean length8.189163498
Min length2

Characters and Unicode

Total characters8615
Distinct characters45
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique45 ?
Unique (%)4.3%

Sample

1st rowtest
2nd rowMalaysia
3rd rowMalaysia
4th rowMalaysia
5th rowMalaysia
ValueCountFrequency (%)
malaysia 915
84.0%
kelantan 30
 
2.8%
selangor 16
 
1.5%
kedah 11
 
1.0%
kuala 11
 
1.0%
terengganu 10
 
0.9%
johor 9
 
0.8%
mas 9
 
0.8%
pasir 9
 
0.8%
lumpur 6
 
0.6%
Other values (40) 63
 
5.8%
2024-01-01T21:24:33.972126image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2714
31.5%
l 910
 
10.6%
M 901
 
10.5%
s 875
 
10.2%
i 867
 
10.1%
y 851
 
9.9%
A 248
 
2.9%
185
 
2.1%
n 109
 
1.3%
S 95
 
1.1%
Other values (35) 860
 
10.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 6757
78.4%
Uppercase Letter 1664
 
19.3%
Space Separator 185
 
2.1%
Other Punctuation 8
 
0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2714
40.2%
l 910
 
13.5%
s 875
 
12.9%
i 867
 
12.8%
y 851
 
12.6%
n 109
 
1.6%
e 80
 
1.2%
r 53
 
0.8%
g 47
 
0.7%
m 42
 
0.6%
Other values (11) 209
 
3.1%
Uppercase Letter
ValueCountFrequency (%)
M 901
54.1%
A 248
 
14.9%
S 95
 
5.7%
L 84
 
5.0%
I 80
 
4.8%
Y 72
 
4.3%
K 50
 
3.0%
N 24
 
1.4%
P 21
 
1.3%
E 20
 
1.2%
Other values (10) 69
 
4.1%
Other Punctuation
ValueCountFrequency (%)
, 7
87.5%
' 1
 
12.5%
Space Separator
ValueCountFrequency (%)
185
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 8421
97.7%
Common 194
 
2.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2714
32.2%
l 910
 
10.8%
M 901
 
10.7%
s 875
 
10.4%
i 867
 
10.3%
y 851
 
10.1%
A 248
 
2.9%
n 109
 
1.3%
S 95
 
1.1%
L 84
 
1.0%
Other values (31) 767
 
9.1%
Common
ValueCountFrequency (%)
185
95.4%
, 7
 
3.6%
' 1
 
0.5%
- 1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8615
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2714
31.5%
l 910
 
10.6%
M 901
 
10.5%
s 875
 
10.2%
i 867
 
10.1%
y 851
 
9.9%
A 248
 
2.9%
185
 
2.1%
n 109
 
1.3%
S 95
 
1.1%
Other values (35) 860
 
10.0%
Distinct6
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
2024-01-01T21:24:34.392228image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Length

Max length21
Median length18
Mean length18.82034221
Min length16

Characters and Unicode

Total characters19799
Distinct characters26
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowRM 3001 - 10 000
2nd rowRM 3001 - 10 000
3rd rowRM 3001 - 10 000
4th rowRM 10 001 - 25 000
5th rowRM 10 001 - 25 000
ValueCountFrequency (%)
rm 948
23.0%
than 737
17.9%
less 633
15.4%
4,849 620
15.0%
4,850 300
 
7.3%
– 300
 
7.3%
rm10,959 300
 
7.3%
more 104
 
2.5%
rm10,960 104
 
2.5%
15
 
0.4%
Other values (6) 61
 
1.5%
2024-01-01T21:24:34.999299image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3070
15.5%
4 1540
 
7.8%
M 1456
 
7.4%
R 1352
 
6.8%
9 1324
 
6.7%
, 1324
 
6.7%
s 1266
 
6.4%
0 937
 
4.7%
8 920
 
4.6%
t 737
 
3.7%
Other values (16) 5873
29.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5890
29.7%
Lowercase Letter 5459
27.6%
Uppercase Letter 3441
17.4%
Space Separator 3070
15.5%
Other Punctuation 1324
 
6.7%
Currency Symbol 300
 
1.5%
Initial Punctuation 300
 
1.5%
Dash Punctuation 15
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 1540
26.1%
9 1324
22.5%
0 937
15.9%
8 920
15.6%
5 603
 
10.2%
1 434
 
7.4%
6 104
 
1.8%
3 25
 
0.4%
2 3
 
0.1%
Lowercase Letter
ValueCountFrequency (%)
s 1266
23.2%
t 737
13.5%
h 737
13.5%
a 737
13.5%
n 737
13.5%
e 737
13.5%
â 300
 
5.5%
o 104
 
1.9%
r 104
 
1.9%
Uppercase Letter
ValueCountFrequency (%)
M 1456
42.3%
R 1352
39.3%
L 633
18.4%
Space Separator
ValueCountFrequency (%)
3070
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1324
100.0%
Currency Symbol
ValueCountFrequency (%)
€ 300
100.0%
Initial Punctuation
ValueCountFrequency (%)
“ 300
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 10899
55.0%
Latin 8900
45.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3070
28.2%
4 1540
14.1%
9 1324
12.1%
, 1324
12.1%
0 937
 
8.6%
8 920
 
8.4%
5 603
 
5.5%
1 434
 
4.0%
€ 300
 
2.8%
“ 300
 
2.8%
Other values (4) 147
 
1.3%
Latin
ValueCountFrequency (%)
M 1456
16.4%
R 1352
15.2%
s 1266
14.2%
t 737
8.3%
h 737
8.3%
a 737
8.3%
n 737
8.3%
e 737
8.3%
L 633
7.1%
â 300
 
3.4%
Other values (2) 208
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18899
95.5%
None 300
 
1.5%
Currency Symbols 300
 
1.5%
Punctuation 300
 
1.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3070
16.2%
4 1540
 
8.1%
M 1456
 
7.7%
R 1352
 
7.2%
9 1324
 
7.0%
, 1324
 
7.0%
s 1266
 
6.7%
0 937
 
5.0%
8 920
 
4.9%
t 737
 
3.9%
Other values (13) 4973
26.3%
None
ValueCountFrequency (%)
â 300
100.0%
Currency Symbols
ValueCountFrequency (%)
€ 300
100.0%
Punctuation
ValueCountFrequency (%)
“ 300
100.0%
Distinct7
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
2024-01-01T21:24:35.300467image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Length

Max length102
Median length88
Mean length40.35931559
Min length12

Characters and Unicode

Total characters42458
Distinct characters27
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowFace to Face
2nd rowFace to Face, Synchronous Online Learning (Real Time)
3rd rowFace to Face
4th rowFace to Face, Asynchronous Online Learning (On your own time)
5th rowFace to Face
ValueCountFrequency (%)
face 1620
23.7%
to 810
11.8%
online 742
10.8%
learning 742
10.8%
time 742
10.8%
synchronous 392
 
5.7%
real 392
 
5.7%
asynchronous 350
 
5.1%
on 350
 
5.1%
your 350
 
5.1%
2024-01-01T21:24:35.740891image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5788
13.6%
n 5152
12.1%
e 4238
 
10.0%
o 2994
 
7.1%
a 2754
 
6.5%
c 2362
 
5.6%
i 2226
 
5.2%
r 1834
 
4.3%
F 1620
 
3.8%
t 1160
 
2.7%
Other values (17) 12330
29.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 29706
70.0%
Space Separator 5788
 
13.6%
Uppercase Letter 4980
 
11.7%
Open Punctuation 742
 
1.7%
Close Punctuation 742
 
1.7%
Other Punctuation 500
 
1.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
n 5152
17.3%
e 4238
14.3%
o 2994
10.1%
a 2754
9.3%
c 2362
8.0%
i 2226
7.5%
r 1834
 
6.2%
t 1160
 
3.9%
l 1134
 
3.8%
s 1092
 
3.7%
Other values (6) 4760
16.0%
Uppercase Letter
ValueCountFrequency (%)
F 1620
32.5%
O 1092
21.9%
L 742
14.9%
S 392
 
7.9%
R 392
 
7.9%
T 392
 
7.9%
A 350
 
7.0%
Space Separator
ValueCountFrequency (%)
5788
100.0%
Open Punctuation
ValueCountFrequency (%)
( 742
100.0%
Close Punctuation
ValueCountFrequency (%)
) 742
100.0%
Other Punctuation
ValueCountFrequency (%)
, 500
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 34686
81.7%
Common 7772
 
18.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
n 5152
14.9%
e 4238
12.2%
o 2994
 
8.6%
a 2754
 
7.9%
c 2362
 
6.8%
i 2226
 
6.4%
r 1834
 
5.3%
F 1620
 
4.7%
t 1160
 
3.3%
l 1134
 
3.3%
Other values (13) 9212
26.6%
Common
ValueCountFrequency (%)
5788
74.5%
( 742
 
9.5%
) 742
 
9.5%
, 500
 
6.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 42458
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5788
13.6%
n 5152
12.1%
e 4238
 
10.0%
o 2994
 
7.1%
a 2754
 
6.5%
c 2362
 
5.6%
i 2226
 
5.2%
r 1834
 
4.3%
F 1620
 
3.8%
t 1160
 
2.7%
Other values (17) 12330
29.0%
Distinct91
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
2024-01-01T21:24:36.075254image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Length

Max length62
Median length47
Mean length19.21768061
Min length4

Characters and Unicode

Total characters20217
Distinct characters45
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique53 ?
Unique (%)5.0%

Sample

1st rowTwitter
2nd rowInstagram
3rd rowFacebook, Twitter, Instagram
4th rowFacebook, Youtube
5th rowFacebook
ValueCountFrequency (%)
youtube 753
33.7%
instagram 591
26.4%
facebook 421
18.8%
twitter 270
 
12.1%
blogger/wordpress 72
 
3.2%
google 22
 
1.0%
meet 17
 
0.8%
tiktok 13
 
0.6%
teams 13
 
0.6%
microsoft 10
 
0.4%
Other values (25) 55
 
2.5%
2024-01-01T21:24:36.598632image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
t 1950
 
9.6%
o 1840
 
9.1%
e 1686
 
8.3%
a 1663
 
8.2%
u 1509
 
7.5%
1197
 
5.9%
b 1175
 
5.8%
, 1145
 
5.7%
r 1105
 
5.5%
s 784
 
3.9%
Other values (35) 6163
30.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 15494
76.6%
Uppercase Letter 2307
 
11.4%
Other Punctuation 1219
 
6.0%
Space Separator 1197
 
5.9%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 1950
12.6%
o 1840
11.9%
e 1686
10.9%
a 1663
10.7%
u 1509
9.7%
b 1175
7.6%
r 1105
7.1%
s 784
 
5.1%
g 768
 
5.0%
m 638
 
4.1%
Other values (12) 2376
15.3%
Uppercase Letter
ValueCountFrequency (%)
Y 753
32.6%
I 594
25.7%
F 423
18.3%
T 304
13.2%
W 85
 
3.7%
B 72
 
3.1%
M 23
 
1.0%
G 21
 
0.9%
C 6
 
0.3%
O 6
 
0.3%
Other values (9) 20
 
0.9%
Other Punctuation
ValueCountFrequency (%)
, 1145
93.9%
/ 72
 
5.9%
. 2
 
0.2%
Space Separator
ValueCountFrequency (%)
1197
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 17801
88.0%
Common 2416
 
12.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 1950
11.0%
o 1840
10.3%
e 1686
 
9.5%
a 1663
 
9.3%
u 1509
 
8.5%
b 1175
 
6.6%
r 1105
 
6.2%
s 784
 
4.4%
g 768
 
4.3%
Y 753
 
4.2%
Other values (31) 4568
25.7%
Common
ValueCountFrequency (%)
1197
49.5%
, 1145
47.4%
/ 72
 
3.0%
. 2
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 20217
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
t 1950
 
9.6%
o 1840
 
9.1%
e 1686
 
8.3%
a 1663
 
8.2%
u 1509
 
7.5%
1197
 
5.9%
b 1175
 
5.8%
, 1145
 
5.7%
r 1105
 
5.5%
s 784
 
3.9%
Other values (35) 6163
30.5%
Distinct52
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
2024-01-01T21:24:36.857963image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Length

Max length80
Median length63
Mean length25.10646388
Min length4

Characters and Unicode

Total characters26412
Distinct characters42
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)2.5%

Sample

1st rowWhatsapp
2nd rowWhatsapp
3rd rowEmail, University eLearning Chat Room, Whatsapp, Call, Telegram
4th rowEmail, Whatsapp
5th rowWhatsapp
ValueCountFrequency (%)
whatsapp 940
28.5%
telegram 554
16.8%
email 499
15.1%
university 272
 
8.2%
elearning 272
 
8.2%
chat 272
 
8.2%
room 272
 
8.2%
call 155
 
4.7%
google 15
 
0.5%
meet 13
 
0.4%
Other values (14) 36
 
1.1%
2024-01-01T21:24:37.402971image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 3646
13.8%
2251
 
8.5%
e 1979
 
7.5%
p 1880
 
7.1%
t 1506
 
5.7%
, 1404
 
5.3%
l 1383
 
5.2%
m 1346
 
5.1%
i 1327
 
5.0%
s 1232
 
4.7%
Other values (32) 8458
32.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 19454
73.7%
Uppercase Letter 3303
 
12.5%
Space Separator 2251
 
8.5%
Other Punctuation 1404
 
5.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 3646
18.7%
e 1979
10.2%
p 1880
9.7%
t 1506
7.7%
l 1383
 
7.1%
m 1346
 
6.9%
i 1327
 
6.8%
s 1232
 
6.3%
h 1212
 
6.2%
r 1111
 
5.7%
Other values (12) 2832
14.6%
Uppercase Letter
ValueCountFrequency (%)
W 942
28.5%
T 561
17.0%
E 500
15.1%
C 432
13.1%
R 273
 
8.3%
L 273
 
8.3%
U 272
 
8.2%
M 15
 
0.5%
G 15
 
0.5%
Z 5
 
0.2%
Other values (8) 15
 
0.5%
Space Separator
ValueCountFrequency (%)
2251
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1404
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 22757
86.2%
Common 3655
 
13.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 3646
16.0%
e 1979
 
8.7%
p 1880
 
8.3%
t 1506
 
6.6%
l 1383
 
6.1%
m 1346
 
5.9%
i 1327
 
5.8%
s 1232
 
5.4%
h 1212
 
5.3%
r 1111
 
4.9%
Other values (30) 6135
27.0%
Common
ValueCountFrequency (%)
2251
61.6%
, 1404
38.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 26412
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 3646
13.8%
2251
 
8.5%
e 1979
 
7.5%
p 1880
 
7.1%
t 1506
 
5.7%
, 1404
 
5.3%
l 1383
 
5.2%
m 1346
 
5.1%
i 1327
 
5.0%
s 1232
 
4.7%
Other values (32) 8458
32.0%
Distinct411
Distinct (%)39.1%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
2024-01-01T21:24:37.787431image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Length

Max length243
Median length121
Mean length65.56463878
Min length2

Characters and Unicode

Total characters68974
Distinct characters51
Distinct categories11 ?
Distinct scripts2 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique220 ?
Unique (%)20.9%

Sample

1st rowAdaptability
2nd rowTechnical Issues, Quality of Material
3rd rowTechnical Issues, Engagement
4th rowAdaptability, Technical Issues, Time Management, Self-Motivation, Quality of Material, Engagement
5th rowTechnical Issues
ValueCountFrequency (%)
issues 720
11.5%
technical 680
10.9%
self-motivation 629
10.1%
management 464
 
7.4%
time 463
 
7.4%
cost/focus/commitment 407
 
6.5%
adaptability 352
 
5.6%
accessibility 348
 
5.6%
engagement 345
 
5.5%
of 308
 
4.9%
Other values (97) 1525
24.4%
2024-01-01T21:24:38.366349image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
t 6029
 
8.7%
e 5975
 
8.7%
i 5664
 
8.2%
5191
 
7.5%
a 4530
 
6.6%
s 3986
 
5.8%
n 3621
 
5.2%
o 3566
 
5.2%
m 3404
 
4.9%
, 3060
 
4.4%
Other values (41) 23948
34.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 51551
74.7%
Uppercase Letter 7496
 
10.9%
Space Separator 5191
 
7.5%
Other Punctuation 4096
 
5.9%
Dash Punctuation 630
 
0.9%
Currency Symbol 2
 
< 0.1%
Other Symbol 2
 
< 0.1%
Open Punctuation 2
 
< 0.1%
Close Punctuation 2
 
< 0.1%
Decimal Number 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 6029
11.7%
e 5975
11.6%
i 5664
11.0%
a 4530
8.8%
s 3986
7.7%
n 3621
 
7.0%
o 3566
 
6.9%
m 3404
 
6.6%
c 2938
 
5.7%
l 2688
 
5.2%
Other values (15) 9150
17.7%
Uppercase Letter
ValueCountFrequency (%)
M 1398
18.6%
C 1328
17.7%
T 1146
15.3%
I 724
9.7%
A 700
9.3%
S 631
8.4%
F 628
8.4%
E 347
 
4.6%
Q 306
 
4.1%
L 237
 
3.2%
Other values (4) 51
 
0.7%
Other Punctuation
ValueCountFrequency (%)
, 3060
74.7%
/ 1034
 
25.2%
' 1
 
< 0.1%
: 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
5191
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 630
100.0%
Currency Symbol
ValueCountFrequency (%)
€ 2
100.0%
Other Symbol
ValueCountFrequency (%)
â„¢ 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 59047
85.6%
Common 9927
 
14.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 6029
 
10.2%
e 5975
 
10.1%
i 5664
 
9.6%
a 4530
 
7.7%
s 3986
 
6.8%
n 3621
 
6.1%
o 3566
 
6.0%
m 3404
 
5.8%
c 2938
 
5.0%
l 2688
 
4.6%
Other values (29) 16646
28.2%
Common
ValueCountFrequency (%)
5191
52.3%
, 3060
30.8%
/ 1034
 
10.4%
- 630
 
6.3%
€ 2
 
< 0.1%
â„¢ 2
 
< 0.1%
( 2
 
< 0.1%
) 2
 
< 0.1%
' 1
 
< 0.1%
2 1
 
< 0.1%
Other values (2) 2
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 68968
> 99.9%
None 2
 
< 0.1%
Currency Symbols 2
 
< 0.1%
Letterlike Symbols 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
t 6029
 
8.7%
e 5975
 
8.7%
i 5664
 
8.2%
5191
 
7.5%
a 4530
 
6.6%
s 3986
 
5.8%
n 3621
 
5.3%
o 3566
 
5.2%
m 3404
 
4.9%
, 3060
 
4.4%
Other values (38) 23942
34.7%
None
ValueCountFrequency (%)
â 2
100.0%
Currency Symbols
ValueCountFrequency (%)
€ 2
100.0%
Letterlike Symbols
ValueCountFrequency (%)
â„¢ 2
100.0%
Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
2024-01-01T21:24:38.658952image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Length

Max length10
Median length9
Mean length9.05608365
Min length9

Characters and Unicode

Total characters9527
Distinct characters24
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowSomewhat
2nd rowSomewhat
3rd rowVery Much
4th rowVery Much
5th rowVery Much
ValueCountFrequency (%)
very 534
32.3%
much 534
32.3%
somewhat 400
24.2%
undecided 59
 
3.6%
not 59
 
3.6%
really 52
 
3.1%
at 7
 
0.4%
all 7
 
0.4%
2024-01-01T21:24:39.023891image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 1104
 
11.6%
h 934
 
9.8%
600
 
6.3%
c 593
 
6.2%
y 586
 
6.2%
V 534
 
5.6%
r 534
 
5.6%
M 534
 
5.6%
u 534
 
5.6%
t 466
 
4.9%
Other values (14) 3108
32.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 6882
72.2%
Uppercase Letter 1645
 
17.3%
Space Separator 600
 
6.3%
Control 400
 
4.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 1104
16.0%
h 934
13.6%
c 593
8.6%
y 586
8.5%
r 534
7.8%
u 534
7.8%
t 466
6.8%
a 459
6.7%
o 459
6.7%
w 400
 
5.8%
Other values (5) 813
11.8%
Uppercase Letter
ValueCountFrequency (%)
V 534
32.5%
M 534
32.5%
S 400
24.3%
U 59
 
3.6%
N 59
 
3.6%
R 52
 
3.2%
A 7
 
0.4%
Space Separator
ValueCountFrequency (%)
600
100.0%
Control
ValueCountFrequency (%)
400
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 8527
89.5%
Common 1000
 
10.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 1104
12.9%
h 934
11.0%
c 593
 
7.0%
y 586
 
6.9%
V 534
 
6.3%
r 534
 
6.3%
M 534
 
6.3%
u 534
 
6.3%
t 466
 
5.5%
a 459
 
5.4%
Other values (12) 2249
26.4%
Common
ValueCountFrequency (%)
600
60.0%
400
40.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9527
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 1104
 
11.6%
h 934
 
9.8%
600
 
6.3%
c 593
 
6.2%
y 586
 
6.2%
V 534
 
5.6%
r 534
 
5.6%
M 534
 
5.6%
u 534
 
5.6%
t 466
 
4.9%
Other values (14) 3108
32.6%
Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
2024-01-01T21:24:39.230096image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Length

Max length10
Median length9
Mean length9.171102662
Min length9

Characters and Unicode

Total characters9648
Distinct characters24
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowSomewhat
2nd rowSomewhat
3rd rowSomewhat
4th rowVery Much
5th rowSomewhat
ValueCountFrequency (%)
somewhat 407
25.7%
very 312
19.7%
much 312
19.7%
not 180
11.4%
undecided 153
 
9.7%
really 142
 
9.0%
at 38
 
2.4%
all 38
 
2.4%
2024-01-01T21:24:39.661455image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 1167
 
12.1%
h 719
 
7.5%
t 625
 
6.5%
a 587
 
6.1%
o 587
 
6.1%
530
 
5.5%
c 465
 
4.8%
d 459
 
4.8%
y 454
 
4.7%
S 407
 
4.2%
Other values (14) 3648
37.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 7167
74.3%
Uppercase Letter 1544
 
16.0%
Space Separator 530
 
5.5%
Control 407
 
4.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 1167
16.3%
h 719
10.0%
t 625
8.7%
a 587
8.2%
o 587
8.2%
c 465
 
6.5%
d 459
 
6.4%
y 454
 
6.3%
w 407
 
5.7%
m 407
 
5.7%
Other values (5) 1290
18.0%
Uppercase Letter
ValueCountFrequency (%)
S 407
26.4%
V 312
20.2%
M 312
20.2%
N 180
11.7%
U 153
 
9.9%
R 142
 
9.2%
A 38
 
2.5%
Space Separator
ValueCountFrequency (%)
530
100.0%
Control
ValueCountFrequency (%)
407
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 8711
90.3%
Common 937
 
9.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 1167
13.4%
h 719
 
8.3%
t 625
 
7.2%
a 587
 
6.7%
o 587
 
6.7%
c 465
 
5.3%
d 459
 
5.3%
y 454
 
5.2%
S 407
 
4.7%
w 407
 
4.7%
Other values (12) 2834
32.5%
Common
ValueCountFrequency (%)
530
56.6%
407
43.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9648
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 1167
 
12.1%
h 719
 
7.5%
t 625
 
6.5%
a 587
 
6.1%
o 587
 
6.1%
530
 
5.5%
c 465
 
4.8%
d 459
 
4.8%
y 454
 
4.7%
S 407
 
4.2%
Other values (14) 3648
37.8%
Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
2024-01-01T21:24:39.935313image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Length

Max length10
Median length9
Mean length9.021863118
Min length9

Characters and Unicode

Total characters9491
Distinct characters24
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowSomewhat
2nd rowSomewhat
3rd rowVery Much
4th rowVery Much
5th rowVery Much
ValueCountFrequency (%)
very 703
39.5%
much 703
39.5%
somewhat 271
 
15.2%
undecided 55
 
3.1%
not 23
 
1.3%
really 22
 
1.2%
at 1
 
0.1%
all 1
 
0.1%
2024-01-01T21:24:40.353268image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 1106
11.7%
h 974
10.3%
c 758
 
8.0%
727
 
7.7%
y 725
 
7.6%
V 703
 
7.4%
r 703
 
7.4%
M 703
 
7.4%
u 703
 
7.4%
t 295
 
3.1%
Other values (14) 2094
22.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 6715
70.8%
Uppercase Letter 1778
 
18.7%
Space Separator 727
 
7.7%
Control 271
 
2.9%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 1106
16.5%
h 974
14.5%
c 758
11.3%
y 725
10.8%
r 703
10.5%
u 703
10.5%
t 295
 
4.4%
a 294
 
4.4%
o 294
 
4.4%
w 271
 
4.0%
Other values (5) 592
8.8%
Uppercase Letter
ValueCountFrequency (%)
V 703
39.5%
M 703
39.5%
S 271
 
15.2%
U 55
 
3.1%
N 23
 
1.3%
R 22
 
1.2%
A 1
 
0.1%
Space Separator
ValueCountFrequency (%)
727
100.0%
Control
ValueCountFrequency (%)
271
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 8493
89.5%
Common 998
 
10.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 1106
13.0%
h 974
11.5%
c 758
8.9%
y 725
8.5%
V 703
8.3%
r 703
8.3%
M 703
8.3%
u 703
8.3%
t 295
 
3.5%
a 294
 
3.5%
Other values (12) 1529
18.0%
Common
ValueCountFrequency (%)
727
72.8%
271
 
27.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9491
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 1106
11.7%
h 974
10.3%
c 758
 
8.0%
727
 
7.7%
y 725
 
7.6%
V 703
 
7.4%
r 703
 
7.4%
M 703
 
7.4%
u 703
 
7.4%
t 295
 
3.1%
Other values (14) 2094
22.1%
Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
2024-01-01T21:24:40.669651image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Length

Max length10
Median length9
Mean length9.136882129
Min length9

Characters and Unicode

Total characters9612
Distinct characters24
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowSomewhat
2nd rowSomewhat
3rd rowSomewhat
4th rowSomewhat
5th rowSomewhat
ValueCountFrequency (%)
very 371
23.1%
much 371
23.1%
somewhat 359
22.4%
undecided 178
11.1%
not 144
 
9.0%
really 105
 
6.5%
at 39
 
2.4%
all 39
 
2.4%
2024-01-01T21:24:41.120498image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 1191
 
12.4%
h 730
 
7.6%
554
 
5.8%
c 549
 
5.7%
t 542
 
5.6%
d 534
 
5.6%
o 503
 
5.2%
a 503
 
5.2%
y 476
 
5.0%
V 371
 
3.9%
Other values (14) 3659
38.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 7132
74.2%
Uppercase Letter 1567
 
16.3%
Space Separator 554
 
5.8%
Control 359
 
3.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 1191
16.7%
h 730
10.2%
c 549
7.7%
t 542
 
7.6%
d 534
 
7.5%
o 503
 
7.1%
a 503
 
7.1%
y 476
 
6.7%
r 371
 
5.2%
u 371
 
5.2%
Other values (5) 1362
19.1%
Uppercase Letter
ValueCountFrequency (%)
V 371
23.7%
M 371
23.7%
S 359
22.9%
U 178
11.4%
N 144
 
9.2%
R 105
 
6.7%
A 39
 
2.5%
Space Separator
ValueCountFrequency (%)
554
100.0%
Control
ValueCountFrequency (%)
359
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 8699
90.5%
Common 913
 
9.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 1191
13.7%
h 730
 
8.4%
c 549
 
6.3%
t 542
 
6.2%
d 534
 
6.1%
o 503
 
5.8%
a 503
 
5.8%
y 476
 
5.5%
V 371
 
4.3%
r 371
 
4.3%
Other values (12) 2929
33.7%
Common
ValueCountFrequency (%)
554
60.7%
359
39.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9612
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 1191
 
12.4%
h 730
 
7.6%
554
 
5.8%
c 549
 
5.7%
t 542
 
5.6%
d 534
 
5.6%
o 503
 
5.2%
a 503
 
5.2%
y 476
 
5.0%
V 371
 
3.9%
Other values (14) 3659
38.1%
Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
2024-01-01T21:24:41.420386image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Length

Max length10
Median length9
Mean length9.036121673
Min length9

Characters and Unicode

Total characters9506
Distinct characters24
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowSomewhat
2nd rowSomewhat
3rd rowUndecided
4th rowSomewhat
5th rowSomewhat
ValueCountFrequency (%)
very 504
31.5%
much 504
31.5%
somewhat 418
26.1%
undecided 92
 
5.7%
not 38
 
2.4%
really 30
 
1.9%
at 8
 
0.5%
all 8
 
0.5%
2024-01-01T21:24:41.858172image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 1136
 
12.0%
h 922
 
9.7%
c 596
 
6.3%
550
 
5.8%
y 534
 
5.6%
V 504
 
5.3%
r 504
 
5.3%
M 504
 
5.3%
u 504
 
5.3%
t 464
 
4.9%
Other values (14) 3288
34.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 6944
73.0%
Uppercase Letter 1594
 
16.8%
Space Separator 550
 
5.8%
Control 418
 
4.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 1136
16.4%
h 922
13.3%
c 596
8.6%
y 534
7.7%
r 504
7.3%
u 504
7.3%
t 464
6.7%
a 456
6.6%
o 456
6.6%
w 418
 
6.0%
Other values (5) 954
13.7%
Uppercase Letter
ValueCountFrequency (%)
V 504
31.6%
M 504
31.6%
S 418
26.2%
U 92
 
5.8%
N 38
 
2.4%
R 30
 
1.9%
A 8
 
0.5%
Space Separator
ValueCountFrequency (%)
550
100.0%
Control
ValueCountFrequency (%)
418
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 8538
89.8%
Common 968
 
10.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 1136
13.3%
h 922
 
10.8%
c 596
 
7.0%
y 534
 
6.3%
V 504
 
5.9%
r 504
 
5.9%
M 504
 
5.9%
u 504
 
5.9%
t 464
 
5.4%
a 456
 
5.3%
Other values (12) 2414
28.3%
Common
ValueCountFrequency (%)
550
56.8%
418
43.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9506
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 1136
 
12.0%
h 922
 
9.7%
c 596
 
6.3%
550
 
5.8%
y 534
 
5.6%
V 504
 
5.3%
r 504
 
5.3%
M 504
 
5.3%
u 504
 
5.3%
t 464
 
4.9%
Other values (14) 3288
34.6%
Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
2024-01-01T21:24:42.142828image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Length

Max length10
Median length9
Mean length9.148288973
Min length9

Characters and Unicode

Total characters9624
Distinct characters24
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowSomewhat
2nd rowSomewhat
3rd rowSomewhat
4th rowUndecided
5th rowSomewhat
ValueCountFrequency (%)
somewhat 371
23.0%
very 363
22.5%
much 363
22.5%
undecided 162
10.0%
not 156
9.7%
really 111
 
6.9%
at 45
 
2.8%
all 45
 
2.8%
2024-01-01T21:24:42.575146image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 1169
 
12.1%
h 734
 
7.6%
t 572
 
5.9%
564
 
5.9%
a 527
 
5.5%
o 527
 
5.5%
c 525
 
5.5%
d 486
 
5.0%
y 474
 
4.9%
S 371
 
3.9%
Other values (14) 3675
38.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 7118
74.0%
Uppercase Letter 1571
 
16.3%
Space Separator 564
 
5.9%
Control 371
 
3.9%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 1169
16.4%
h 734
10.3%
t 572
8.0%
a 527
 
7.4%
o 527
 
7.4%
c 525
 
7.4%
d 486
 
6.8%
y 474
 
6.7%
w 371
 
5.2%
m 371
 
5.2%
Other values (5) 1362
19.1%
Uppercase Letter
ValueCountFrequency (%)
S 371
23.6%
V 363
23.1%
M 363
23.1%
U 162
10.3%
N 156
9.9%
R 111
 
7.1%
A 45
 
2.9%
Space Separator
ValueCountFrequency (%)
564
100.0%
Control
ValueCountFrequency (%)
371
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 8689
90.3%
Common 935
 
9.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 1169
 
13.5%
h 734
 
8.4%
t 572
 
6.6%
a 527
 
6.1%
o 527
 
6.1%
c 525
 
6.0%
d 486
 
5.6%
y 474
 
5.5%
S 371
 
4.3%
w 371
 
4.3%
Other values (12) 2933
33.8%
Common
ValueCountFrequency (%)
564
60.3%
371
39.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9624
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 1169
 
12.1%
h 734
 
7.6%
t 572
 
5.9%
564
 
5.9%
a 527
 
5.5%
o 527
 
5.5%
c 525
 
5.5%
d 486
 
5.0%
y 474
 
4.9%
S 371
 
3.9%
Other values (14) 3675
38.2%
Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
2024-01-01T21:24:42.885151image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Length

Max length10
Median length9
Mean length9.094106464
Min length9

Characters and Unicode

Total characters9567
Distinct characters24
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowSomewhat
2nd rowSomewhat
3rd rowSomewhat
4th rowSomewhat
5th rowVery Much
ValueCountFrequency (%)
very 408
25.8%
much 408
25.8%
somewhat 377
23.8%
undecided 168
10.6%
not 99
 
6.2%
really 74
 
4.7%
at 25
 
1.6%
all 25
 
1.6%
2024-01-01T21:24:43.342550image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 1195
 
12.5%
h 785
 
8.2%
c 576
 
6.0%
532
 
5.6%
d 504
 
5.3%
t 501
 
5.2%
y 482
 
5.0%
o 476
 
5.0%
a 476
 
5.0%
V 408
 
4.3%
Other values (14) 3632
38.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 7099
74.2%
Uppercase Letter 1559
 
16.3%
Space Separator 532
 
5.6%
Control 377
 
3.9%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 1195
16.8%
h 785
11.1%
c 576
8.1%
d 504
 
7.1%
t 501
 
7.1%
y 482
 
6.8%
o 476
 
6.7%
a 476
 
6.7%
r 408
 
5.7%
u 408
 
5.7%
Other values (5) 1288
18.1%
Uppercase Letter
ValueCountFrequency (%)
V 408
26.2%
M 408
26.2%
S 377
24.2%
U 168
10.8%
N 99
 
6.4%
R 74
 
4.7%
A 25
 
1.6%
Space Separator
ValueCountFrequency (%)
532
100.0%
Control
ValueCountFrequency (%)
377
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 8658
90.5%
Common 909
 
9.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 1195
13.8%
h 785
 
9.1%
c 576
 
6.7%
d 504
 
5.8%
t 501
 
5.8%
y 482
 
5.6%
o 476
 
5.5%
a 476
 
5.5%
V 408
 
4.7%
r 408
 
4.7%
Other values (12) 2847
32.9%
Common
ValueCountFrequency (%)
532
58.5%
377
41.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9567
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 1195
 
12.5%
h 785
 
8.2%
c 576
 
6.0%
532
 
5.6%
d 504
 
5.3%
t 501
 
5.2%
y 482
 
5.0%
o 476
 
5.0%
a 476
 
5.0%
V 408
 
4.3%
Other values (14) 3632
38.0%
Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
2024-01-01T21:24:43.643378image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Length

Max length10
Median length9
Mean length9.085551331
Min length9

Characters and Unicode

Total characters9558
Distinct characters24
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowSomewhat
2nd rowSomewhat
3rd rowUndecided
4th rowUndecided
5th rowSomewhat
ValueCountFrequency (%)
very 413
26.1%
much 413
26.1%
somewhat 362
22.9%
undecided 187
11.8%
not 90
 
5.7%
really 61
 
3.9%
at 29
 
1.8%
all 29
 
1.8%
2024-01-01T21:24:44.079725image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 1210
 
12.7%
h 775
 
8.1%
c 600
 
6.3%
d 561
 
5.9%
532
 
5.6%
t 481
 
5.0%
y 474
 
5.0%
o 452
 
4.7%
a 452
 
4.7%
V 413
 
4.3%
Other values (14) 3608
37.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 7109
74.4%
Uppercase Letter 1555
 
16.3%
Space Separator 532
 
5.6%
Control 362
 
3.8%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 1210
17.0%
h 775
10.9%
c 600
8.4%
d 561
7.9%
t 481
 
6.8%
y 474
 
6.7%
o 452
 
6.4%
a 452
 
6.4%
r 413
 
5.8%
u 413
 
5.8%
Other values (5) 1278
18.0%
Uppercase Letter
ValueCountFrequency (%)
V 413
26.6%
M 413
26.6%
S 362
23.3%
U 187
12.0%
N 90
 
5.8%
R 61
 
3.9%
A 29
 
1.9%
Space Separator
ValueCountFrequency (%)
532
100.0%
Control
ValueCountFrequency (%)
362
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 8664
90.6%
Common 894
 
9.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 1210
14.0%
h 775
 
8.9%
c 600
 
6.9%
d 561
 
6.5%
t 481
 
5.6%
y 474
 
5.5%
o 452
 
5.2%
a 452
 
5.2%
V 413
 
4.8%
r 413
 
4.8%
Other values (12) 2833
32.7%
Common
ValueCountFrequency (%)
532
59.5%
362
40.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9558
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 1210
 
12.7%
h 775
 
8.1%
c 600
 
6.3%
d 561
 
5.9%
532
 
5.6%
t 481
 
5.0%
y 474
 
5.0%
o 452
 
4.7%
a 452
 
4.7%
V 413
 
4.3%
Other values (14) 3608
37.7%
Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
2024-01-01T21:24:44.316638image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Length

Max length10
Median length9
Mean length9.095057034
Min length9

Characters and Unicode

Total characters9568
Distinct characters24
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowSomewhat
2nd rowSomewhat
3rd rowVery Much
4th rowSomewhat
5th rowVery Much
ValueCountFrequency (%)
somewhat 388
25.0%
very 382
24.6%
much 382
24.6%
undecided 182
11.7%
not 100
 
6.4%
really 79
 
5.1%
at 21
 
1.4%
all 21
 
1.4%
2024-01-01T21:24:44.815590image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 1213
 
12.7%
h 770
 
8.0%
c 564
 
5.9%
d 546
 
5.7%
t 509
 
5.3%
503
 
5.3%
a 488
 
5.1%
o 488
 
5.1%
y 461
 
4.8%
S 388
 
4.1%
Other values (14) 3638
38.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 7143
74.7%
Uppercase Letter 1534
 
16.0%
Space Separator 503
 
5.3%
Control 388
 
4.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 1213
17.0%
h 770
10.8%
c 564
7.9%
d 546
7.6%
t 509
 
7.1%
a 488
 
6.8%
o 488
 
6.8%
y 461
 
6.5%
w 388
 
5.4%
m 388
 
5.4%
Other values (5) 1328
18.6%
Uppercase Letter
ValueCountFrequency (%)
S 388
25.3%
V 382
24.9%
M 382
24.9%
U 182
11.9%
N 100
 
6.5%
R 79
 
5.1%
A 21
 
1.4%
Space Separator
ValueCountFrequency (%)
503
100.0%
Control
ValueCountFrequency (%)
388
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 8677
90.7%
Common 891
 
9.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 1213
14.0%
h 770
 
8.9%
c 564
 
6.5%
d 546
 
6.3%
t 509
 
5.9%
a 488
 
5.6%
o 488
 
5.6%
y 461
 
5.3%
S 388
 
4.5%
w 388
 
4.5%
Other values (12) 2862
33.0%
Common
ValueCountFrequency (%)
503
56.5%
388
43.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9568
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 1213
 
12.7%
h 770
 
8.0%
c 564
 
5.9%
d 546
 
5.7%
t 509
 
5.3%
503
 
5.3%
a 488
 
5.1%
o 488
 
5.1%
y 461
 
4.8%
S 388
 
4.1%
Other values (14) 3638
38.0%
Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
2024-01-01T21:24:45.343561image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Length

Max length10
Median length9
Mean length9.049429658
Min length9

Characters and Unicode

Total characters9520
Distinct characters24
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowSomewhat
2nd rowSomewhat
3rd rowSomewhat
4th rowVery Much
5th rowSomewhat
ValueCountFrequency (%)
very 449
28.7%
much 449
28.7%
somewhat 425
27.1%
undecided 126
 
8.0%
not 52
 
3.3%
really 38
 
2.4%
at 14
 
0.9%
all 14
 
0.9%
2024-01-01T21:24:45.852285image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 1164
 
12.2%
h 874
 
9.2%
c 575
 
6.0%
515
 
5.4%
t 491
 
5.2%
y 487
 
5.1%
a 477
 
5.0%
o 477
 
5.0%
V 449
 
4.7%
r 449
 
4.7%
Other values (14) 3562
37.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 7027
73.8%
Uppercase Letter 1553
 
16.3%
Space Separator 515
 
5.4%
Control 425
 
4.5%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 1164
16.6%
h 874
12.4%
c 575
8.2%
t 491
7.0%
y 487
6.9%
a 477
6.8%
o 477
6.8%
r 449
 
6.4%
u 449
 
6.4%
w 425
 
6.0%
Other values (5) 1159
16.5%
Uppercase Letter
ValueCountFrequency (%)
V 449
28.9%
M 449
28.9%
S 425
27.4%
U 126
 
8.1%
N 52
 
3.3%
R 38
 
2.4%
A 14
 
0.9%
Space Separator
ValueCountFrequency (%)
515
100.0%
Control
ValueCountFrequency (%)
425
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 8580
90.1%
Common 940
 
9.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 1164
13.6%
h 874
 
10.2%
c 575
 
6.7%
t 491
 
5.7%
y 487
 
5.7%
a 477
 
5.6%
o 477
 
5.6%
V 449
 
5.2%
r 449
 
5.2%
M 449
 
5.2%
Other values (12) 2688
31.3%
Common
ValueCountFrequency (%)
515
54.8%
425
45.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9520
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 1164
 
12.2%
h 874
 
9.2%
c 575
 
6.0%
515
 
5.4%
t 491
 
5.2%
y 487
 
5.1%
a 477
 
5.0%
o 477
 
5.0%
V 449
 
4.7%
r 449
 
4.7%
Other values (14) 3562
37.4%
Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
2024-01-01T21:24:46.182374image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Length

Max length10
Median length9
Mean length9.057034221
Min length9

Characters and Unicode

Total characters9528
Distinct characters24
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowSomewhat
2nd rowSomewhat
3rd rowVery Much
4th rowVery Much
5th rowSomewhat
ValueCountFrequency (%)
very 455
28.8%
much 455
28.8%
somewhat 396
25.1%
undecided 141
 
8.9%
not 60
 
3.8%
really 47
 
3.0%
at 13
 
0.8%
all 13
 
0.8%
2024-01-01T21:24:46.627810image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 1180
 
12.4%
h 851
 
8.9%
c 596
 
6.3%
528
 
5.5%
y 502
 
5.3%
t 469
 
4.9%
o 456
 
4.8%
a 456
 
4.8%
V 455
 
4.8%
r 455
 
4.8%
Other values (14) 3580
37.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 7037
73.9%
Uppercase Letter 1567
 
16.4%
Space Separator 528
 
5.5%
Control 396
 
4.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 1180
16.8%
h 851
12.1%
c 596
8.5%
y 502
7.1%
t 469
 
6.7%
o 456
 
6.5%
a 456
 
6.5%
r 455
 
6.5%
u 455
 
6.5%
d 423
 
6.0%
Other values (5) 1194
17.0%
Uppercase Letter
ValueCountFrequency (%)
V 455
29.0%
M 455
29.0%
S 396
25.3%
U 141
 
9.0%
N 60
 
3.8%
R 47
 
3.0%
A 13
 
0.8%
Space Separator
ValueCountFrequency (%)
528
100.0%
Control
ValueCountFrequency (%)
396
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 8604
90.3%
Common 924
 
9.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 1180
13.7%
h 851
 
9.9%
c 596
 
6.9%
y 502
 
5.8%
t 469
 
5.5%
o 456
 
5.3%
a 456
 
5.3%
V 455
 
5.3%
r 455
 
5.3%
M 455
 
5.3%
Other values (12) 2729
31.7%
Common
ValueCountFrequency (%)
528
57.1%
396
42.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9528
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 1180
 
12.4%
h 851
 
8.9%
c 596
 
6.3%
528
 
5.5%
y 502
 
5.3%
t 469
 
4.9%
o 456
 
4.8%
a 456
 
4.8%
V 455
 
4.8%
r 455
 
4.8%
Other values (14) 3580
37.6%
Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
2024-01-01T21:24:46.919796image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Length

Max length10
Median length9
Mean length9.062737643
Min length9

Characters and Unicode

Total characters9534
Distinct characters24
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowSomewhat
2nd rowSomewhat
3rd rowVery Much
4th rowVery Much
5th rowSomewhat
ValueCountFrequency (%)
very 450
28.4%
much 450
28.4%
somewhat 404
25.5%
undecided 132
 
8.3%
not 66
 
4.2%
really 47
 
3.0%
at 19
 
1.2%
all 19
 
1.2%
2024-01-01T21:24:47.321103image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 1165
 
12.2%
h 854
 
9.0%
c 582
 
6.1%
535
 
5.6%
y 497
 
5.2%
t 489
 
5.1%
a 470
 
4.9%
o 470
 
4.9%
V 450
 
4.7%
r 450
 
4.7%
Other values (14) 3572
37.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 7027
73.7%
Uppercase Letter 1568
 
16.4%
Space Separator 535
 
5.6%
Control 404
 
4.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 1165
16.6%
h 854
12.2%
c 582
8.3%
y 497
7.1%
t 489
7.0%
a 470
 
6.7%
o 470
 
6.7%
r 450
 
6.4%
u 450
 
6.4%
w 404
 
5.7%
Other values (5) 1196
17.0%
Uppercase Letter
ValueCountFrequency (%)
V 450
28.7%
M 450
28.7%
S 404
25.8%
U 132
 
8.4%
N 66
 
4.2%
R 47
 
3.0%
A 19
 
1.2%
Space Separator
ValueCountFrequency (%)
535
100.0%
Control
ValueCountFrequency (%)
404
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 8595
90.2%
Common 939
 
9.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 1165
13.6%
h 854
 
9.9%
c 582
 
6.8%
y 497
 
5.8%
t 489
 
5.7%
a 470
 
5.5%
o 470
 
5.5%
V 450
 
5.2%
r 450
 
5.2%
M 450
 
5.2%
Other values (12) 2718
31.6%
Common
ValueCountFrequency (%)
535
57.0%
404
43.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9534
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 1165
 
12.2%
h 854
 
9.0%
c 582
 
6.1%
535
 
5.6%
y 497
 
5.2%
t 489
 
5.1%
a 470
 
4.9%
o 470
 
4.9%
V 450
 
4.7%
r 450
 
4.7%
Other values (14) 3572
37.5%
Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
2024-01-01T21:24:47.619601image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Length

Max length10
Median length9
Mean length9.062737643
Min length9

Characters and Unicode

Total characters9534
Distinct characters24
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowSomewhat
2nd rowSomewhat
3rd rowSomewhat
4th rowVery Much
5th rowSomewhat
ValueCountFrequency (%)
somewhat 417
26.8%
very 417
26.8%
much 417
26.8%
undecided 152
 
9.8%
not 66
 
4.2%
really 45
 
2.9%
at 21
 
1.3%
all 21
 
1.3%
2024-01-01T21:24:48.071095image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 1183
 
12.4%
h 834
 
8.7%
c 569
 
6.0%
504
 
5.3%
t 504
 
5.3%
a 483
 
5.1%
o 483
 
5.1%
y 462
 
4.8%
d 456
 
4.8%
u 417
 
4.4%
Other values (14) 3639
38.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 7078
74.2%
Uppercase Letter 1535
 
16.1%
Space Separator 504
 
5.3%
Control 417
 
4.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 1183
16.7%
h 834
11.8%
c 569
8.0%
t 504
 
7.1%
a 483
 
6.8%
o 483
 
6.8%
y 462
 
6.5%
d 456
 
6.4%
u 417
 
5.9%
r 417
 
5.9%
Other values (5) 1270
17.9%
Uppercase Letter
ValueCountFrequency (%)
M 417
27.2%
S 417
27.2%
V 417
27.2%
U 152
 
9.9%
N 66
 
4.3%
R 45
 
2.9%
A 21
 
1.4%
Space Separator
ValueCountFrequency (%)
504
100.0%
Control
ValueCountFrequency (%)
417
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 8613
90.3%
Common 921
 
9.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 1183
13.7%
h 834
 
9.7%
c 569
 
6.6%
t 504
 
5.9%
a 483
 
5.6%
o 483
 
5.6%
y 462
 
5.4%
d 456
 
5.3%
u 417
 
4.8%
M 417
 
4.8%
Other values (12) 2805
32.6%
Common
ValueCountFrequency (%)
504
54.7%
417
45.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9534
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 1183
 
12.4%
h 834
 
8.7%
c 569
 
6.0%
504
 
5.3%
t 504
 
5.3%
a 483
 
5.1%
o 483
 
5.1%
y 462
 
4.8%
d 456
 
4.8%
u 417
 
4.4%
Other values (14) 3639
38.2%
Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
2024-01-01T21:24:48.362330image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Length

Max length10
Median length9
Mean length8.739543726
Min length8

Characters and Unicode

Total characters9194
Distinct characters23
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowSomewhat
2nd rowSomewhat
3rd rowSomewhat
4th rowVery Much
5th rowSomewhat
ValueCountFrequency (%)
very 546
32.3%
much 546
32.3%
somewhat 353
20.9%
not 79
 
4.7%
undecided 74
 
4.4%
really 64
 
3.8%
at 15
 
0.9%
all 15
 
0.9%
2024-01-01T21:24:48.835670image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 1111
12.1%
h 899
 
9.8%
640
 
7.0%
c 620
 
6.7%
y 610
 
6.6%
V 546
 
5.9%
r 546
 
5.9%
M 546
 
5.9%
u 546
 
5.9%
t 447
 
4.9%
Other values (13) 2683
29.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 6877
74.8%
Uppercase Letter 1677
 
18.2%
Space Separator 640
 
7.0%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 1111
16.2%
h 899
13.1%
c 620
9.0%
y 610
8.9%
r 546
7.9%
u 546
7.9%
t 447
6.5%
a 432
 
6.3%
o 432
 
6.3%
m 353
 
5.1%
Other values (5) 881
12.8%
Uppercase Letter
ValueCountFrequency (%)
V 546
32.6%
M 546
32.6%
S 353
21.0%
N 79
 
4.7%
U 74
 
4.4%
R 64
 
3.8%
A 15
 
0.9%
Space Separator
ValueCountFrequency (%)
640
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 8554
93.0%
Common 640
 
7.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 1111
13.0%
h 899
 
10.5%
c 620
 
7.2%
y 610
 
7.1%
V 546
 
6.4%
r 546
 
6.4%
M 546
 
6.4%
u 546
 
6.4%
t 447
 
5.2%
a 432
 
5.1%
Other values (12) 2251
26.3%
Common
ValueCountFrequency (%)
640
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9194
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 1111
12.1%
h 899
 
9.8%
640
 
7.0%
c 620
 
6.7%
y 610
 
6.6%
V 546
 
5.9%
r 546
 
5.9%
M 546
 
5.9%
u 546
 
5.9%
t 447
 
4.9%
Other values (13) 2683
29.2%
Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
2024-01-01T21:24:49.137439image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Length

Max length10
Median length9
Mean length8.715779468
Min length8

Characters and Unicode

Total characters9169
Distinct characters23
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowSomewhat
2nd rowSomewhat
3rd rowSomewhat
4th rowNot Really
5th rowSomewhat
ValueCountFrequency (%)
very 425
26.4%
much 425
26.4%
somewhat 404
25.1%
undecided 118
 
7.3%
not 105
 
6.5%
really 79
 
4.9%
at 26
 
1.6%
all 26
 
1.6%
2024-01-01T21:24:49.615340image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 1144
 
12.5%
h 829
 
9.0%
556
 
6.1%
c 543
 
5.9%
t 535
 
5.8%
a 509
 
5.6%
o 509
 
5.6%
y 504
 
5.5%
V 425
 
4.6%
r 425
 
4.6%
Other values (13) 3190
34.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 7031
76.7%
Uppercase Letter 1582
 
17.3%
Space Separator 556
 
6.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 1144
16.3%
h 829
11.8%
c 543
7.7%
t 535
7.6%
a 509
7.2%
o 509
7.2%
y 504
7.2%
r 425
 
6.0%
u 425
 
6.0%
m 404
 
5.7%
Other values (5) 1204
17.1%
Uppercase Letter
ValueCountFrequency (%)
V 425
26.9%
M 425
26.9%
S 404
25.5%
U 118
 
7.5%
N 105
 
6.6%
R 79
 
5.0%
A 26
 
1.6%
Space Separator
ValueCountFrequency (%)
556
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 8613
93.9%
Common 556
 
6.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 1144
13.3%
h 829
 
9.6%
c 543
 
6.3%
t 535
 
6.2%
a 509
 
5.9%
o 509
 
5.9%
y 504
 
5.9%
V 425
 
4.9%
r 425
 
4.9%
M 425
 
4.9%
Other values (12) 2765
32.1%
Common
ValueCountFrequency (%)
556
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9169
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 1144
 
12.5%
h 829
 
9.0%
556
 
6.1%
c 543
 
5.9%
t 535
 
5.8%
a 509
 
5.6%
o 509
 
5.6%
y 504
 
5.5%
V 425
 
4.6%
r 425
 
4.6%
Other values (13) 3190
34.8%
Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
2024-01-01T21:24:49.921531image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Length

Max length10
Median length9
Mean length8.741444867
Min length8

Characters and Unicode

Total characters9196
Distinct characters23
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowSomewhat
2nd rowSomewhat
3rd rowUndecided
4th rowNot Really
5th rowVery Much
ValueCountFrequency (%)
very 433
26.6%
much 433
26.6%
somewhat 379
23.3%
undecided 133
 
8.2%
not 107
 
6.6%
really 74
 
4.6%
at 33
 
2.0%
all 33
 
2.0%
2024-01-01T21:24:50.385337image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 1152
 
12.5%
h 812
 
8.8%
573
 
6.2%
c 566
 
6.2%
t 519
 
5.6%
y 507
 
5.5%
a 486
 
5.3%
o 486
 
5.3%
V 433
 
4.7%
r 433
 
4.7%
Other values (13) 3229
35.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 7031
76.5%
Uppercase Letter 1592
 
17.3%
Space Separator 573
 
6.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 1152
16.4%
h 812
11.5%
c 566
8.1%
t 519
7.4%
y 507
7.2%
a 486
 
6.9%
o 486
 
6.9%
r 433
 
6.2%
u 433
 
6.2%
d 399
 
5.7%
Other values (5) 1238
17.6%
Uppercase Letter
ValueCountFrequency (%)
V 433
27.2%
M 433
27.2%
S 379
23.8%
U 133
 
8.4%
N 107
 
6.7%
R 74
 
4.6%
A 33
 
2.1%
Space Separator
ValueCountFrequency (%)
573
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 8623
93.8%
Common 573
 
6.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 1152
13.4%
h 812
 
9.4%
c 566
 
6.6%
t 519
 
6.0%
y 507
 
5.9%
a 486
 
5.6%
o 486
 
5.6%
V 433
 
5.0%
r 433
 
5.0%
M 433
 
5.0%
Other values (12) 2796
32.4%
Common
ValueCountFrequency (%)
573
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9196
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 1152
 
12.5%
h 812
 
8.8%
573
 
6.2%
c 566
 
6.2%
t 519
 
5.6%
y 507
 
5.5%
a 486
 
5.3%
o 486
 
5.3%
V 433
 
4.7%
r 433
 
4.7%
Other values (13) 3229
35.1%
Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
2024-01-01T21:24:50.670041image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Length

Max length10
Median length9
Mean length8.689163498
Min length8

Characters and Unicode

Total characters9141
Distinct characters23
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowSomewhat
2nd rowSomewhat
3rd rowVery Much
4th rowSomewhat
5th rowVery Much
ValueCountFrequency (%)
very 537
32.7%
much 537
32.7%
somewhat 368
22.4%
undecided 106
 
6.5%
not 41
 
2.5%
really 30
 
1.8%
at 11
 
0.7%
all 11
 
0.7%
2024-01-01T21:24:51.127705image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 1147
12.5%
h 905
 
9.9%
c 643
 
7.0%
589
 
6.4%
y 567
 
6.2%
V 537
 
5.9%
r 537
 
5.9%
M 537
 
5.9%
u 537
 
5.9%
t 420
 
4.6%
Other values (13) 2722
29.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 6922
75.7%
Uppercase Letter 1630
 
17.8%
Space Separator 589
 
6.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 1147
16.6%
h 905
13.1%
c 643
9.3%
y 567
8.2%
r 537
7.8%
u 537
7.8%
t 420
 
6.1%
a 409
 
5.9%
o 409
 
5.9%
m 368
 
5.3%
Other values (5) 980
14.2%
Uppercase Letter
ValueCountFrequency (%)
V 537
32.9%
M 537
32.9%
S 368
22.6%
U 106
 
6.5%
N 41
 
2.5%
R 30
 
1.8%
A 11
 
0.7%
Space Separator
ValueCountFrequency (%)
589
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 8552
93.6%
Common 589
 
6.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 1147
13.4%
h 905
 
10.6%
c 643
 
7.5%
y 567
 
6.6%
V 537
 
6.3%
r 537
 
6.3%
M 537
 
6.3%
u 537
 
6.3%
t 420
 
4.9%
a 409
 
4.8%
Other values (12) 2313
27.0%
Common
ValueCountFrequency (%)
589
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9141
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 1147
12.5%
h 905
 
9.9%
c 643
 
7.0%
589
 
6.4%
y 567
 
6.2%
V 537
 
5.9%
r 537
 
5.9%
M 537
 
5.9%
u 537
 
5.9%
t 420
 
4.6%
Other values (13) 2722
29.8%
Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
2024-01-01T21:24:51.359488image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Length

Max length10
Median length9
Mean length8.673954373
Min length8

Characters and Unicode

Total characters9125
Distinct characters23
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowSomewhat
2nd rowSomewhat
3rd rowVery Much
4th rowNot Really
5th rowSomewhat
ValueCountFrequency (%)
very 460
29.1%
much 460
29.1%
somewhat 399
25.3%
undecided 137
 
8.7%
not 56
 
3.5%
really 45
 
2.8%
at 11
 
0.7%
all 11
 
0.7%
2024-01-01T21:24:51.840487image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 1178
 
12.9%
h 859
 
9.4%
c 597
 
6.5%
527
 
5.8%
y 505
 
5.5%
t 466
 
5.1%
V 460
 
5.0%
r 460
 
5.0%
M 460
 
5.0%
u 460
 
5.0%
Other values (13) 3153
34.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 7030
77.0%
Uppercase Letter 1568
 
17.2%
Space Separator 527
 
5.8%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 1178
16.8%
h 859
12.2%
c 597
8.5%
y 505
7.2%
t 466
 
6.6%
r 460
 
6.5%
u 460
 
6.5%
a 455
 
6.5%
o 455
 
6.5%
d 411
 
5.8%
Other values (5) 1184
16.8%
Uppercase Letter
ValueCountFrequency (%)
V 460
29.3%
M 460
29.3%
S 399
25.4%
U 137
 
8.7%
N 56
 
3.6%
R 45
 
2.9%
A 11
 
0.7%
Space Separator
ValueCountFrequency (%)
527
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 8598
94.2%
Common 527
 
5.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 1178
13.7%
h 859
 
10.0%
c 597
 
6.9%
y 505
 
5.9%
t 466
 
5.4%
V 460
 
5.4%
r 460
 
5.4%
M 460
 
5.4%
u 460
 
5.4%
a 455
 
5.3%
Other values (12) 2698
31.4%
Common
ValueCountFrequency (%)
527
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9125
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 1178
 
12.9%
h 859
 
9.4%
c 597
 
6.5%
527
 
5.8%
y 505
 
5.5%
t 466
 
5.1%
V 460
 
5.0%
r 460
 
5.0%
M 460
 
5.0%
u 460
 
5.0%
Other values (13) 3153
34.6%
Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
2024-01-01T21:24:52.135572image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Length

Max length10
Median length9
Mean length8.682509506
Min length8

Characters and Unicode

Total characters9134
Distinct characters23
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowSomewhat
2nd rowSomewhat
3rd rowVery Much
4th rowVery Much
5th rowSomewhat
ValueCountFrequency (%)
very 525
32.0%
much 525
32.0%
somewhat 382
23.3%
undecided 97
 
5.9%
not 48
 
2.9%
really 33
 
2.0%
at 15
 
0.9%
all 15
 
0.9%
2024-01-01T21:24:52.598023image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 1134
12.4%
h 907
 
9.9%
c 622
 
6.8%
588
 
6.4%
y 558
 
6.1%
V 525
 
5.7%
r 525
 
5.7%
M 525
 
5.7%
u 525
 
5.7%
t 445
 
4.9%
Other values (13) 2780
30.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 6921
75.8%
Uppercase Letter 1625
 
17.8%
Space Separator 588
 
6.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 1134
16.4%
h 907
13.1%
c 622
9.0%
y 558
8.1%
r 525
7.6%
u 525
7.6%
t 445
 
6.4%
a 430
 
6.2%
o 430
 
6.2%
m 382
 
5.5%
Other values (5) 963
13.9%
Uppercase Letter
ValueCountFrequency (%)
V 525
32.3%
M 525
32.3%
S 382
23.5%
U 97
 
6.0%
N 48
 
3.0%
R 33
 
2.0%
A 15
 
0.9%
Space Separator
ValueCountFrequency (%)
588
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 8546
93.6%
Common 588
 
6.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 1134
13.3%
h 907
 
10.6%
c 622
 
7.3%
y 558
 
6.5%
V 525
 
6.1%
r 525
 
6.1%
M 525
 
6.1%
u 525
 
6.1%
t 445
 
5.2%
a 430
 
5.0%
Other values (12) 2350
27.5%
Common
ValueCountFrequency (%)
588
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9134
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 1134
12.4%
h 907
 
9.9%
c 622
 
6.8%
588
 
6.4%
y 558
 
6.1%
V 525
 
5.7%
r 525
 
5.7%
M 525
 
5.7%
u 525
 
5.7%
t 445
 
4.9%
Other values (13) 2780
30.4%
Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
2024-01-01T21:24:52.886319image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Length

Max length10
Median length9
Mean length8.706273764
Min length8

Characters and Unicode

Total characters9159
Distinct characters23
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowSomewhat
2nd rowSomewhat
3rd rowVery Much
4th rowSomewhat
5th rowSomewhat
ValueCountFrequency (%)
somewhat 444
30.2%
very 246
16.8%
much 246
16.8%
undecided 227
15.5%
not 135
 
9.2%
really 100
 
6.8%
at 35
 
2.4%
all 35
 
2.4%
2024-01-01T21:24:53.329065image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 1244
13.6%
h 690
 
7.5%
d 681
 
7.4%
t 614
 
6.7%
o 579
 
6.3%
a 579
 
6.3%
c 473
 
5.2%
S 444
 
4.8%
m 444
 
4.8%
w 444
 
4.8%
Other values (13) 2967
32.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 7310
79.8%
Uppercase Letter 1433
 
15.6%
Space Separator 416
 
4.5%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 1244
17.0%
h 690
9.4%
d 681
9.3%
t 614
8.4%
o 579
7.9%
a 579
7.9%
c 473
 
6.5%
m 444
 
6.1%
w 444
 
6.1%
y 346
 
4.7%
Other values (5) 1216
16.6%
Uppercase Letter
ValueCountFrequency (%)
S 444
31.0%
M 246
17.2%
V 246
17.2%
U 227
15.8%
N 135
 
9.4%
R 100
 
7.0%
A 35
 
2.4%
Space Separator
ValueCountFrequency (%)
416
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 8743
95.5%
Common 416
 
4.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 1244
14.2%
h 690
 
7.9%
d 681
 
7.8%
t 614
 
7.0%
o 579
 
6.6%
a 579
 
6.6%
c 473
 
5.4%
S 444
 
5.1%
m 444
 
5.1%
w 444
 
5.1%
Other values (12) 2551
29.2%
Common
ValueCountFrequency (%)
416
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9159
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 1244
13.6%
h 690
 
7.5%
d 681
 
7.4%
t 614
 
6.7%
o 579
 
6.3%
a 579
 
6.3%
c 473
 
5.2%
S 444
 
4.8%
m 444
 
4.8%
w 444
 
4.8%
Other values (13) 2967
32.4%
Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
2024-01-01T21:24:53.608189image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Length

Max length10
Median length9
Mean length8.782319392
Min length8

Characters and Unicode

Total characters9239
Distinct characters23
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowSomewhat
2nd rowSomewhat
3rd rowVery Much
4th rowNot Really
5th rowSomewhat
ValueCountFrequency (%)
somewhat 380
25.4%
undecided 289
19.3%
very 232
15.5%
much 232
15.5%
not 151
 
10.1%
really 88
 
5.9%
at 63
 
4.2%
all 63
 
4.2%
2024-01-01T21:24:54.050598image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 1278
13.8%
d 867
 
9.4%
h 612
 
6.6%
t 594
 
6.4%
o 531
 
5.7%
a 531
 
5.7%
c 521
 
5.6%
446
 
4.8%
S 380
 
4.1%
w 380
 
4.1%
Other values (13) 3099
33.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 7358
79.6%
Uppercase Letter 1435
 
15.5%
Space Separator 446
 
4.8%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 1278
17.4%
d 867
11.8%
h 612
8.3%
t 594
8.1%
o 531
 
7.2%
a 531
 
7.2%
c 521
 
7.1%
w 380
 
5.2%
m 380
 
5.2%
y 320
 
4.3%
Other values (5) 1344
18.3%
Uppercase Letter
ValueCountFrequency (%)
S 380
26.5%
U 289
20.1%
V 232
16.2%
M 232
16.2%
N 151
 
10.5%
R 88
 
6.1%
A 63
 
4.4%
Space Separator
ValueCountFrequency (%)
446
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 8793
95.2%
Common 446
 
4.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 1278
14.5%
d 867
 
9.9%
h 612
 
7.0%
t 594
 
6.8%
o 531
 
6.0%
a 531
 
6.0%
c 521
 
5.9%
S 380
 
4.3%
w 380
 
4.3%
m 380
 
4.3%
Other values (12) 2719
30.9%
Common
ValueCountFrequency (%)
446
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 1278
13.8%
d 867
 
9.4%
h 612
 
6.6%
t 594
 
6.4%
o 531
 
5.7%
a 531
 
5.7%
c 521
 
5.6%
446
 
4.8%
S 380
 
4.1%
w 380
 
4.1%
Other values (13) 3099
33.5%
Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
2024-01-01T21:24:54.336663image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Length

Max length10
Median length9
Mean length8.708174905
Min length8

Characters and Unicode

Total characters9161
Distinct characters23
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowSomewhat
2nd rowSomewhat
3rd rowSomewhat
4th rowNot Really
5th rowVery Much
ValueCountFrequency (%)
somewhat 409
26.6%
very 358
23.3%
much 358
23.3%
undecided 183
11.9%
not 102
 
6.6%
really 75
 
4.9%
at 27
 
1.8%
all 27
 
1.8%
2024-01-01T21:24:54.782983image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 1208
 
13.2%
h 767
 
8.4%
d 549
 
6.0%
c 541
 
5.9%
t 538
 
5.9%
a 511
 
5.6%
o 511
 
5.6%
487
 
5.3%
y 433
 
4.7%
S 409
 
4.5%
Other values (13) 3207
35.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 7162
78.2%
Uppercase Letter 1512
 
16.5%
Space Separator 487
 
5.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 1208
16.9%
h 767
10.7%
d 549
7.7%
c 541
7.6%
t 538
7.5%
a 511
 
7.1%
o 511
 
7.1%
y 433
 
6.0%
w 409
 
5.7%
m 409
 
5.7%
Other values (5) 1286
18.0%
Uppercase Letter
ValueCountFrequency (%)
S 409
27.1%
V 358
23.7%
M 358
23.7%
U 183
12.1%
N 102
 
6.7%
R 75
 
5.0%
A 27
 
1.8%
Space Separator
ValueCountFrequency (%)
487
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 8674
94.7%
Common 487
 
5.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 1208
13.9%
h 767
 
8.8%
d 549
 
6.3%
c 541
 
6.2%
t 538
 
6.2%
a 511
 
5.9%
o 511
 
5.9%
y 433
 
5.0%
S 409
 
4.7%
w 409
 
4.7%
Other values (12) 2798
32.3%
Common
ValueCountFrequency (%)
487
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9161
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 1208
 
13.2%
h 767
 
8.4%
d 549
 
6.0%
c 541
 
5.9%
t 538
 
5.9%
a 511
 
5.6%
o 511
 
5.6%
487
 
5.3%
y 433
 
4.7%
S 409
 
4.5%
Other values (13) 3207
35.0%
Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
2024-01-01T21:24:55.061510image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Length

Max length10
Median length9
Mean length8.772813688
Min length8

Characters and Unicode

Total characters9229
Distinct characters23
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowSomewhat
2nd rowSomewhat
3rd rowSomewhat
4th rowSomewhat
5th rowVery Much
ValueCountFrequency (%)
somewhat 401
27.4%
undecided 289
19.7%
very 200
13.7%
much 200
13.7%
not 162
11.1%
really 111
 
7.6%
at 51
 
3.5%
all 51
 
3.5%
2024-01-01T21:24:55.514297image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 1290
14.0%
d 867
 
9.4%
t 614
 
6.7%
h 601
 
6.5%
o 563
 
6.1%
a 563
 
6.1%
c 489
 
5.3%
413
 
4.5%
S 401
 
4.3%
w 401
 
4.3%
Other values (13) 3027
32.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 7402
80.2%
Uppercase Letter 1414
 
15.3%
Space Separator 413
 
4.5%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 1290
17.4%
d 867
11.7%
t 614
8.3%
h 601
8.1%
o 563
7.6%
a 563
7.6%
c 489
 
6.6%
w 401
 
5.4%
m 401
 
5.4%
l 324
 
4.4%
Other values (5) 1289
17.4%
Uppercase Letter
ValueCountFrequency (%)
S 401
28.4%
U 289
20.4%
V 200
14.1%
M 200
14.1%
N 162
11.5%
R 111
 
7.9%
A 51
 
3.6%
Space Separator
ValueCountFrequency (%)
413
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 8816
95.5%
Common 413
 
4.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 1290
14.6%
d 867
 
9.8%
t 614
 
7.0%
h 601
 
6.8%
o 563
 
6.4%
a 563
 
6.4%
c 489
 
5.5%
S 401
 
4.5%
w 401
 
4.5%
m 401
 
4.5%
Other values (12) 2626
29.8%
Common
ValueCountFrequency (%)
413
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9229
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 1290
14.0%
d 867
 
9.4%
t 614
 
6.7%
h 601
 
6.5%
o 563
 
6.1%
a 563
 
6.1%
c 489
 
5.3%
413
 
4.5%
S 401
 
4.3%
w 401
 
4.3%
Other values (13) 3027
32.8%
Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
2024-01-01T21:24:55.792545image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Length

Max length10
Median length9
Mean length8.685361217
Min length8

Characters and Unicode

Total characters9137
Distinct characters23
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowSomewhat
2nd rowSomewhat
3rd rowSomewhat
4th rowNot Really
5th rowSomewhat
ValueCountFrequency (%)
somewhat 444
30.7%
undecided 252
17.4%
very 243
16.8%
much 243
16.8%
not 113
 
7.8%
really 75
 
5.2%
at 38
 
2.6%
all 38
 
2.6%
2024-01-01T21:24:56.241645image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 1266
13.9%
d 756
 
8.3%
h 687
 
7.5%
t 595
 
6.5%
o 557
 
6.1%
a 557
 
6.1%
c 495
 
5.4%
S 444
 
4.9%
w 444
 
4.9%
m 444
 
4.9%
Other values (13) 2892
31.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 7335
80.3%
Uppercase Letter 1408
 
15.4%
Space Separator 394
 
4.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 1266
17.3%
d 756
10.3%
h 687
9.4%
t 595
8.1%
o 557
7.6%
a 557
7.6%
c 495
 
6.7%
w 444
 
6.1%
m 444
 
6.1%
y 318
 
4.3%
Other values (5) 1216
16.6%
Uppercase Letter
ValueCountFrequency (%)
S 444
31.5%
U 252
17.9%
V 243
17.3%
M 243
17.3%
N 113
 
8.0%
R 75
 
5.3%
A 38
 
2.7%
Space Separator
ValueCountFrequency (%)
394
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 8743
95.7%
Common 394
 
4.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 1266
14.5%
d 756
 
8.6%
h 687
 
7.9%
t 595
 
6.8%
o 557
 
6.4%
a 557
 
6.4%
c 495
 
5.7%
S 444
 
5.1%
w 444
 
5.1%
m 444
 
5.1%
Other values (12) 2498
28.6%
Common
ValueCountFrequency (%)
394
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9137
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 1266
13.9%
d 756
 
8.3%
h 687
 
7.5%
t 595
 
6.5%
o 557
 
6.1%
a 557
 
6.1%
c 495
 
5.4%
S 444
 
4.9%
w 444
 
4.9%
m 444
 
4.9%
Other values (13) 2892
31.7%
Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
2024-01-01T21:24:56.547124image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Length

Max length10
Median length9
Mean length8.786121673
Min length8

Characters and Unicode

Total characters9243
Distinct characters23
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowSomewhat
2nd rowSomewhat
3rd rowSomewhat
4th rowNot Really
5th rowVery Much
ValueCountFrequency (%)
very 373
23.2%
much 373
23.2%
somewhat 359
22.3%
undecided 186
11.6%
not 134
 
8.3%
really 86
 
5.4%
at 48
 
3.0%
all 48
 
3.0%
2024-01-01T21:24:57.028893image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 1190
 
12.9%
h 732
 
7.9%
c 559
 
6.0%
d 558
 
6.0%
555
 
6.0%
t 541
 
5.9%
a 493
 
5.3%
o 493
 
5.3%
y 459
 
5.0%
V 373
 
4.0%
Other values (13) 3290
35.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 7129
77.1%
Uppercase Letter 1559
 
16.9%
Space Separator 555
 
6.0%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 1190
16.7%
h 732
10.3%
c 559
7.8%
d 558
7.8%
t 541
 
7.6%
a 493
 
6.9%
o 493
 
6.9%
y 459
 
6.4%
r 373
 
5.2%
u 373
 
5.2%
Other values (5) 1358
19.0%
Uppercase Letter
ValueCountFrequency (%)
V 373
23.9%
M 373
23.9%
S 359
23.0%
U 186
11.9%
N 134
 
8.6%
R 86
 
5.5%
A 48
 
3.1%
Space Separator
ValueCountFrequency (%)
555
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 8688
94.0%
Common 555
 
6.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 1190
13.7%
h 732
 
8.4%
c 559
 
6.4%
d 558
 
6.4%
t 541
 
6.2%
a 493
 
5.7%
o 493
 
5.7%
y 459
 
5.3%
V 373
 
4.3%
r 373
 
4.3%
Other values (12) 2917
33.6%
Common
ValueCountFrequency (%)
555
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9243
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 1190
 
12.9%
h 732
 
7.9%
c 559
 
6.0%
d 558
 
6.0%
555
 
6.0%
t 541
 
5.9%
a 493
 
5.3%
o 493
 
5.3%
y 459
 
5.0%
V 373
 
4.0%
Other values (13) 3290
35.6%
Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
2024-01-01T21:24:57.319271image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Length

Max length10
Median length9
Mean length8.807034221
Min length8

Characters and Unicode

Total characters9265
Distinct characters23
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowSomewhat
2nd rowSomewhat
3rd rowSomewhat
4th rowSomewhat
5th rowSomewhat
ValueCountFrequency (%)
somewhat 382
26.0%
undecided 311
21.1%
very 180
12.2%
much 180
12.2%
not 179
12.2%
really 119
 
8.1%
at 60
 
4.1%
all 60
 
4.1%
2024-01-01T21:24:57.774839image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 1303
14.1%
d 933
 
10.1%
t 621
 
6.7%
h 562
 
6.1%
o 561
 
6.1%
a 561
 
6.1%
c 491
 
5.3%
419
 
4.5%
S 382
 
4.1%
w 382
 
4.1%
Other values (13) 3050
32.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 7435
80.2%
Uppercase Letter 1411
 
15.2%
Space Separator 419
 
4.5%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 1303
17.5%
d 933
12.5%
t 621
8.4%
h 562
7.6%
o 561
7.5%
a 561
7.5%
c 491
 
6.6%
w 382
 
5.1%
m 382
 
5.1%
l 358
 
4.8%
Other values (5) 1281
17.2%
Uppercase Letter
ValueCountFrequency (%)
S 382
27.1%
U 311
22.0%
V 180
12.8%
M 180
12.8%
N 179
12.7%
R 119
 
8.4%
A 60
 
4.3%
Space Separator
ValueCountFrequency (%)
419
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 8846
95.5%
Common 419
 
4.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 1303
14.7%
d 933
 
10.5%
t 621
 
7.0%
h 562
 
6.4%
o 561
 
6.3%
a 561
 
6.3%
c 491
 
5.6%
S 382
 
4.3%
w 382
 
4.3%
m 382
 
4.3%
Other values (12) 2668
30.2%
Common
ValueCountFrequency (%)
419
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9265
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 1303
14.1%
d 933
 
10.1%
t 621
 
6.7%
h 562
 
6.1%
o 561
 
6.1%
a 561
 
6.1%
c 491
 
5.3%
419
 
4.5%
S 382
 
4.1%
w 382
 
4.1%
Other values (13) 3050
32.9%
Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
2024-01-01T21:24:58.076530image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Length

Max length10
Median length9
Mean length8.679657795
Min length8

Characters and Unicode

Total characters9131
Distinct characters23
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowSomewhat
2nd rowSomewhat
3rd rowSomewhat
4th rowSomewhat
5th rowSomewhat
ValueCountFrequency (%)
very 423
27.1%
much 423
27.1%
somewhat 404
25.9%
undecided 158
 
10.1%
not 67
 
4.3%
really 50
 
3.2%
at 17
 
1.1%
all 17
 
1.1%
2024-01-01T21:24:58.552644image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 1193
 
13.1%
h 827
 
9.1%
c 581
 
6.4%
507
 
5.6%
t 488
 
5.3%
d 474
 
5.2%
y 473
 
5.2%
a 471
 
5.2%
o 471
 
5.2%
V 423
 
4.6%
Other values (13) 3223
35.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 7082
77.6%
Uppercase Letter 1542
 
16.9%
Space Separator 507
 
5.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 1193
16.8%
h 827
11.7%
c 581
8.2%
t 488
 
6.9%
d 474
 
6.7%
y 473
 
6.7%
a 471
 
6.7%
o 471
 
6.7%
r 423
 
6.0%
u 423
 
6.0%
Other values (5) 1258
17.8%
Uppercase Letter
ValueCountFrequency (%)
V 423
27.4%
M 423
27.4%
S 404
26.2%
U 158
 
10.2%
N 67
 
4.3%
R 50
 
3.2%
A 17
 
1.1%
Space Separator
ValueCountFrequency (%)
507
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 8624
94.4%
Common 507
 
5.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 1193
13.8%
h 827
 
9.6%
c 581
 
6.7%
t 488
 
5.7%
d 474
 
5.5%
y 473
 
5.5%
a 471
 
5.5%
o 471
 
5.5%
V 423
 
4.9%
r 423
 
4.9%
Other values (12) 2800
32.5%
Common
ValueCountFrequency (%)
507
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9131
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 1193
 
13.1%
h 827
 
9.1%
c 581
 
6.4%
507
 
5.6%
t 488
 
5.3%
d 474
 
5.2%
y 473
 
5.2%
a 471
 
5.2%
o 471
 
5.2%
V 423
 
4.6%
Other values (13) 3223
35.3%
Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
2024-01-01T21:24:58.837060image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Length

Max length10
Median length9
Mean length8.706273764
Min length8

Characters and Unicode

Total characters9159
Distinct characters23
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowSomewhat
2nd rowSomewhat
3rd rowSomewhat
4th rowNot Really
5th rowSomewhat
ValueCountFrequency (%)
somewhat 437
30.2%
undecided 258
17.9%
very 229
15.8%
much 229
15.8%
not 128
 
8.9%
really 92
 
6.4%
at 36
 
2.5%
all 36
 
2.5%
2024-01-01T21:24:59.288686image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 1274
13.9%
d 774
 
8.5%
h 666
 
7.3%
t 601
 
6.6%
o 565
 
6.2%
a 565
 
6.2%
c 487
 
5.3%
S 437
 
4.8%
w 437
 
4.8%
m 437
 
4.8%
Other values (13) 2916
31.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 7357
80.3%
Uppercase Letter 1409
 
15.4%
Space Separator 393
 
4.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 1274
17.3%
d 774
10.5%
h 666
9.1%
t 601
8.2%
o 565
7.7%
a 565
7.7%
c 487
 
6.6%
w 437
 
5.9%
m 437
 
5.9%
y 321
 
4.4%
Other values (5) 1230
16.7%
Uppercase Letter
ValueCountFrequency (%)
S 437
31.0%
U 258
18.3%
V 229
16.3%
M 229
16.3%
N 128
 
9.1%
R 92
 
6.5%
A 36
 
2.6%
Space Separator
ValueCountFrequency (%)
393
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 8766
95.7%
Common 393
 
4.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 1274
14.5%
d 774
 
8.8%
h 666
 
7.6%
t 601
 
6.9%
o 565
 
6.4%
a 565
 
6.4%
c 487
 
5.6%
S 437
 
5.0%
w 437
 
5.0%
m 437
 
5.0%
Other values (12) 2523
28.8%
Common
ValueCountFrequency (%)
393
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9159
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 1274
13.9%
d 774
 
8.5%
h 666
 
7.3%
t 601
 
6.6%
o 565
 
6.2%
a 565
 
6.2%
c 487
 
5.3%
S 437
 
4.8%
w 437
 
4.8%
m 437
 
4.8%
Other values (13) 2916
31.8%
Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
2024-01-01T21:24:59.574487image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Length

Max length10
Median length9
Mean length8.705323194
Min length8

Characters and Unicode

Total characters9158
Distinct characters23
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowSomewhat
2nd rowSomewhat
3rd rowUndecided
4th rowNot Really
5th rowVery Much
ValueCountFrequency (%)
somewhat 420
28.1%
very 302
20.2%
much 302
20.2%
undecided 220
14.7%
not 110
 
7.4%
really 80
 
5.4%
at 30
 
2.0%
all 30
 
2.0%
2024-01-01T21:25:00.010633image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 1242
 
13.6%
h 722
 
7.9%
d 660
 
7.2%
t 560
 
6.1%
o 530
 
5.8%
a 530
 
5.8%
c 522
 
5.7%
442
 
4.8%
S 420
 
4.6%
w 420
 
4.6%
Other values (13) 3110
34.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 7252
79.2%
Uppercase Letter 1464
 
16.0%
Space Separator 442
 
4.8%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 1242
17.1%
h 722
10.0%
d 660
9.1%
t 560
7.7%
o 530
7.3%
a 530
7.3%
c 522
7.2%
w 420
 
5.8%
m 420
 
5.8%
y 382
 
5.3%
Other values (5) 1264
17.4%
Uppercase Letter
ValueCountFrequency (%)
S 420
28.7%
V 302
20.6%
M 302
20.6%
U 220
15.0%
N 110
 
7.5%
R 80
 
5.5%
A 30
 
2.0%
Space Separator
ValueCountFrequency (%)
442
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 8716
95.2%
Common 442
 
4.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 1242
14.2%
h 722
 
8.3%
d 660
 
7.6%
t 560
 
6.4%
o 530
 
6.1%
a 530
 
6.1%
c 522
 
6.0%
S 420
 
4.8%
w 420
 
4.8%
m 420
 
4.8%
Other values (12) 2690
30.9%
Common
ValueCountFrequency (%)
442
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9158
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 1242
 
13.6%
h 722
 
7.9%
d 660
 
7.2%
t 560
 
6.1%
o 530
 
5.8%
a 530
 
5.8%
c 522
 
5.7%
442
 
4.8%
S 420
 
4.6%
w 420
 
4.6%
Other values (13) 3110
34.0%
Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
2024-01-01T21:25:00.294577image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Length

Max length10
Median length9
Mean length8.66634981
Min length8

Characters and Unicode

Total characters9117
Distinct characters23
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowSomewhat
2nd rowSomewhat
3rd rowSomewhat
4th rowSomewhat
5th rowVery Much
ValueCountFrequency (%)
somewhat 442
30.0%
very 305
20.7%
much 305
20.7%
undecided 214
14.5%
not 91
 
6.2%
really 65
 
4.4%
at 26
 
1.8%
all 26
 
1.8%
2024-01-01T21:25:00.744658image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 1240
13.6%
h 747
 
8.2%
d 642
 
7.0%
t 559
 
6.1%
o 533
 
5.8%
a 533
 
5.8%
c 519
 
5.7%
S 442
 
4.8%
m 442
 
4.8%
w 442
 
4.8%
Other values (13) 3018
33.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 7247
79.5%
Uppercase Letter 1448
 
15.9%
Space Separator 422
 
4.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 1240
17.1%
h 747
10.3%
d 642
8.9%
t 559
7.7%
o 533
7.4%
a 533
7.4%
c 519
7.2%
m 442
 
6.1%
w 442
 
6.1%
y 370
 
5.1%
Other values (5) 1220
16.8%
Uppercase Letter
ValueCountFrequency (%)
S 442
30.5%
M 305
21.1%
V 305
21.1%
U 214
14.8%
N 91
 
6.3%
R 65
 
4.5%
A 26
 
1.8%
Space Separator
ValueCountFrequency (%)
422
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 8695
95.4%
Common 422
 
4.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 1240
14.3%
h 747
 
8.6%
d 642
 
7.4%
t 559
 
6.4%
o 533
 
6.1%
a 533
 
6.1%
c 519
 
6.0%
S 442
 
5.1%
m 442
 
5.1%
w 442
 
5.1%
Other values (12) 2596
29.9%
Common
ValueCountFrequency (%)
422
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9117
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 1240
13.6%
h 747
 
8.2%
d 642
 
7.0%
t 559
 
6.1%
o 533
 
5.8%
a 533
 
5.8%
c 519
 
5.7%
S 442
 
4.8%
m 442
 
4.8%
w 442
 
4.8%
Other values (13) 3018
33.1%
Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
2024-01-01T21:25:01.033384image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Length

Max length10
Median length9
Mean length8.903041825
Min length8

Characters and Unicode

Total characters9366
Distinct characters23
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowSomewhat
2nd rowSomewhat
3rd rowUndecided
4th rowNot Really
5th rowVery Much
ValueCountFrequency (%)
undecided 334
21.9%
somewhat 325
21.3%
not 223
14.6%
very 170
11.2%
much 170
11.2%
really 144
9.4%
at 79
 
5.2%
all 79
 
5.2%
2024-01-01T21:25:01.491881image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 1307
14.0%
d 1002
 
10.7%
t 627
 
6.7%
a 548
 
5.9%
o 548
 
5.9%
c 504
 
5.4%
h 495
 
5.3%
472
 
5.0%
l 446
 
4.8%
n 334
 
3.6%
Other values (13) 3083
32.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 7449
79.5%
Uppercase Letter 1445
 
15.4%
Space Separator 472
 
5.0%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 1307
17.5%
d 1002
13.5%
t 627
8.4%
a 548
7.4%
o 548
7.4%
c 504
 
6.8%
h 495
 
6.6%
l 446
 
6.0%
n 334
 
4.5%
i 334
 
4.5%
Other values (5) 1304
17.5%
Uppercase Letter
ValueCountFrequency (%)
U 334
23.1%
S 325
22.5%
N 223
15.4%
V 170
11.8%
M 170
11.8%
R 144
10.0%
A 79
 
5.5%
Space Separator
ValueCountFrequency (%)
472
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 8894
95.0%
Common 472
 
5.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 1307
14.7%
d 1002
 
11.3%
t 627
 
7.0%
a 548
 
6.2%
o 548
 
6.2%
c 504
 
5.7%
h 495
 
5.6%
l 446
 
5.0%
n 334
 
3.8%
U 334
 
3.8%
Other values (12) 2749
30.9%
Common
ValueCountFrequency (%)
472
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9366
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 1307
14.0%
d 1002
 
10.7%
t 627
 
6.7%
a 548
 
5.9%
o 548
 
5.9%
c 504
 
5.4%
h 495
 
5.3%
472
 
5.0%
l 446
 
4.8%
n 334
 
3.6%
Other values (13) 3083
32.9%
Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
2024-01-01T21:25:01.775802image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Length

Max length10
Median length9
Mean length8.94581749
Min length8

Characters and Unicode

Total characters9411
Distinct characters23
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowSomewhat
2nd rowSomewhat
3rd rowUndecided
4th rowNot Really
5th rowSomewhat
ValueCountFrequency (%)
undecided 355
23.4%
somewhat 315
20.7%
not 258
17.0%
really 172
11.3%
very 124
 
8.2%
much 124
 
8.2%
at 86
 
5.7%
all 86
 
5.7%
2024-01-01T21:25:02.233513image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 1321
14.0%
d 1065
 
11.3%
t 659
 
7.0%
a 573
 
6.1%
o 573
 
6.1%
l 516
 
5.5%
c 479
 
5.1%
468
 
5.0%
h 439
 
4.7%
n 355
 
3.8%
Other values (13) 2963
31.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 7509
79.8%
Uppercase Letter 1434
 
15.2%
Space Separator 468
 
5.0%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 1321
17.6%
d 1065
14.2%
t 659
8.8%
a 573
7.6%
o 573
7.6%
l 516
 
6.9%
c 479
 
6.4%
h 439
 
5.8%
n 355
 
4.7%
i 355
 
4.7%
Other values (5) 1174
15.6%
Uppercase Letter
ValueCountFrequency (%)
U 355
24.8%
S 315
22.0%
N 258
18.0%
R 172
12.0%
V 124
 
8.6%
M 124
 
8.6%
A 86
 
6.0%
Space Separator
ValueCountFrequency (%)
468
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 8943
95.0%
Common 468
 
5.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 1321
14.8%
d 1065
11.9%
t 659
 
7.4%
a 573
 
6.4%
o 573
 
6.4%
l 516
 
5.8%
c 479
 
5.4%
h 439
 
4.9%
n 355
 
4.0%
U 355
 
4.0%
Other values (12) 2608
29.2%
Common
ValueCountFrequency (%)
468
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9411
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 1321
14.0%
d 1065
 
11.3%
t 659
 
7.0%
a 573
 
6.1%
o 573
 
6.1%
l 516
 
5.5%
c 479
 
5.1%
468
 
5.0%
h 439
 
4.7%
n 355
 
3.8%
Other values (13) 2963
31.5%
Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
2024-01-01T21:25:02.511242image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Length

Max length10
Median length9.5
Mean length8.66730038
Min length8

Characters and Unicode

Total characters9118
Distinct characters23
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowSomewhat
2nd rowSomewhat
3rd rowUndecided
4th rowNot Really
5th rowSomewhat
ValueCountFrequency (%)
somewhat 438
30.4%
very 281
19.5%
much 281
19.5%
undecided 245
17.0%
not 88
 
6.1%
really 66
 
4.6%
at 22
 
1.5%
all 22
 
1.5%
2024-01-01T21:25:02.947880image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 1275
14.0%
d 735
 
8.1%
h 719
 
7.9%
t 548
 
6.0%
o 526
 
5.8%
a 526
 
5.8%
c 526
 
5.8%
S 438
 
4.8%
m 438
 
4.8%
w 438
 
4.8%
Other values (13) 2949
32.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 7306
80.1%
Uppercase Letter 1421
 
15.6%
Space Separator 391
 
4.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 1275
17.5%
d 735
10.1%
h 719
9.8%
t 548
7.5%
o 526
7.2%
a 526
7.2%
c 526
7.2%
m 438
 
6.0%
w 438
 
6.0%
y 347
 
4.7%
Other values (5) 1228
16.8%
Uppercase Letter
ValueCountFrequency (%)
S 438
30.8%
M 281
19.8%
V 281
19.8%
U 245
17.2%
N 88
 
6.2%
R 66
 
4.6%
A 22
 
1.5%
Space Separator
ValueCountFrequency (%)
391
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 8727
95.7%
Common 391
 
4.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 1275
14.6%
d 735
 
8.4%
h 719
 
8.2%
t 548
 
6.3%
o 526
 
6.0%
a 526
 
6.0%
c 526
 
6.0%
S 438
 
5.0%
m 438
 
5.0%
w 438
 
5.0%
Other values (12) 2558
29.3%
Common
ValueCountFrequency (%)
391
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9118
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 1275
14.0%
d 735
 
8.1%
h 719
 
7.9%
t 548
 
6.0%
o 526
 
5.8%
a 526
 
5.8%
c 526
 
5.8%
S 438
 
4.8%
m 438
 
4.8%
w 438
 
4.8%
Other values (13) 2949
32.3%
Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
2024-01-01T21:25:03.229765image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Length

Max length10
Median length9
Mean length8.6378327
Min length8

Characters and Unicode

Total characters9087
Distinct characters23
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowSomewhat
2nd rowSomewhat
3rd rowVery Much
4th rowSomewhat
5th rowSomewhat
ValueCountFrequency (%)
somewhat 465
30.8%
very 357
23.7%
much 357
23.7%
undecided 146
 
9.7%
not 84
 
5.6%
really 68
 
4.5%
at 16
 
1.1%
all 16
 
1.1%
2024-01-01T21:25:03.679059image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 1182
 
13.0%
h 822
 
9.0%
t 565
 
6.2%
o 549
 
6.0%
a 549
 
6.0%
c 503
 
5.5%
S 465
 
5.1%
m 465
 
5.1%
w 465
 
5.1%
457
 
5.0%
Other values (13) 3065
33.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 7137
78.5%
Uppercase Letter 1493
 
16.4%
Space Separator 457
 
5.0%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 1182
16.6%
h 822
11.5%
t 565
7.9%
o 549
7.7%
a 549
7.7%
c 503
7.0%
m 465
 
6.5%
w 465
 
6.5%
d 438
 
6.1%
y 425
 
6.0%
Other values (5) 1174
16.4%
Uppercase Letter
ValueCountFrequency (%)
S 465
31.1%
M 357
23.9%
V 357
23.9%
U 146
 
9.8%
N 84
 
5.6%
R 68
 
4.6%
A 16
 
1.1%
Space Separator
ValueCountFrequency (%)
457
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 8630
95.0%
Common 457
 
5.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 1182
13.7%
h 822
 
9.5%
t 565
 
6.5%
o 549
 
6.4%
a 549
 
6.4%
c 503
 
5.8%
S 465
 
5.4%
m 465
 
5.4%
w 465
 
5.4%
d 438
 
5.1%
Other values (12) 2627
30.4%
Common
ValueCountFrequency (%)
457
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9087
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 1182
 
13.0%
h 822
 
9.0%
t 565
 
6.2%
o 549
 
6.0%
a 549
 
6.0%
c 503
 
5.5%
S 465
 
5.1%
m 465
 
5.1%
w 465
 
5.1%
457
 
5.0%
Other values (13) 3065
33.7%
Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
2024-01-01T21:25:04.157013image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Length

Max length10
Median length9
Mean length8.72243346
Min length8

Characters and Unicode

Total characters9176
Distinct characters23
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowSomewhat
2nd rowSomewhat
3rd rowVery Much
4th rowUndecided
5th rowSomewhat
ValueCountFrequency (%)
somewhat 423
29.5%
undecided 286
20.0%
very 212
14.8%
much 212
14.8%
not 131
 
9.1%
really 94
 
6.6%
at 37
 
2.6%
all 37
 
2.6%
2024-01-01T21:25:04.600993image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 1301
14.2%
d 858
 
9.4%
h 635
 
6.9%
t 591
 
6.4%
o 554
 
6.0%
a 554
 
6.0%
c 498
 
5.4%
S 423
 
4.6%
w 423
 
4.6%
m 423
 
4.6%
Other values (13) 2916
31.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 7401
80.7%
Uppercase Letter 1395
 
15.2%
Space Separator 380
 
4.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 1301
17.6%
d 858
11.6%
h 635
8.6%
t 591
8.0%
o 554
7.5%
a 554
7.5%
c 498
 
6.7%
w 423
 
5.7%
m 423
 
5.7%
y 306
 
4.1%
Other values (5) 1258
17.0%
Uppercase Letter
ValueCountFrequency (%)
S 423
30.3%
U 286
20.5%
V 212
15.2%
M 212
15.2%
N 131
 
9.4%
R 94
 
6.7%
A 37
 
2.7%
Space Separator
ValueCountFrequency (%)
380
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 8796
95.9%
Common 380
 
4.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 1301
14.8%
d 858
 
9.8%
h 635
 
7.2%
t 591
 
6.7%
o 554
 
6.3%
a 554
 
6.3%
c 498
 
5.7%
S 423
 
4.8%
w 423
 
4.8%
m 423
 
4.8%
Other values (12) 2536
28.8%
Common
ValueCountFrequency (%)
380
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9176
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 1301
14.2%
d 858
 
9.4%
h 635
 
6.9%
t 591
 
6.4%
o 554
 
6.0%
a 554
 
6.0%
c 498
 
5.4%
S 423
 
4.6%
w 423
 
4.6%
m 423
 
4.6%
Other values (13) 2916
31.8%
Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
2024-01-01T21:25:04.897629image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Length

Max length10
Median length9
Mean length8.760456274
Min length8

Characters and Unicode

Total characters9216
Distinct characters23
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowSomewhat
2nd rowSomewhat
3rd rowSomewhat
4th rowUndecided
5th rowSomewhat
ValueCountFrequency (%)
somewhat 383
24.8%
very 318
20.6%
much 318
20.6%
undecided 220
14.3%
not 131
 
8.5%
really 90
 
5.8%
at 41
 
2.7%
all 41
 
2.7%
2024-01-01T21:25:05.357445image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 1231
 
13.4%
h 701
 
7.6%
d 660
 
7.2%
t 555
 
6.0%
c 538
 
5.8%
a 514
 
5.6%
o 514
 
5.6%
490
 
5.3%
y 408
 
4.4%
S 383
 
4.2%
Other values (13) 3222
35.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 7225
78.4%
Uppercase Letter 1501
 
16.3%
Space Separator 490
 
5.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 1231
17.0%
h 701
9.7%
d 660
9.1%
t 555
7.7%
c 538
7.4%
a 514
 
7.1%
o 514
 
7.1%
y 408
 
5.6%
w 383
 
5.3%
m 383
 
5.3%
Other values (5) 1338
18.5%
Uppercase Letter
ValueCountFrequency (%)
S 383
25.5%
V 318
21.2%
M 318
21.2%
U 220
14.7%
N 131
 
8.7%
R 90
 
6.0%
A 41
 
2.7%
Space Separator
ValueCountFrequency (%)
490
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 8726
94.7%
Common 490
 
5.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 1231
14.1%
h 701
 
8.0%
d 660
 
7.6%
t 555
 
6.4%
c 538
 
6.2%
a 514
 
5.9%
o 514
 
5.9%
y 408
 
4.7%
S 383
 
4.4%
w 383
 
4.4%
Other values (12) 2839
32.5%
Common
ValueCountFrequency (%)
490
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9216
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 1231
 
13.4%
h 701
 
7.6%
d 660
 
7.2%
t 555
 
6.0%
c 538
 
5.8%
a 514
 
5.6%
o 514
 
5.6%
490
 
5.3%
y 408
 
4.4%
S 383
 
4.2%
Other values (13) 3222
35.0%
Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
2024-01-01T21:25:05.643119image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Length

Max length10
Median length9
Mean length8.72338403
Min length8

Characters and Unicode

Total characters9177
Distinct characters23
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowSomewhat
2nd rowSomewhat
3rd rowSomewhat
4th rowNot Really
5th rowVery Much
ValueCountFrequency (%)
somewhat 423
29.4%
undecided 284
19.8%
very 213
14.8%
much 213
14.8%
not 132
 
9.2%
really 92
 
6.4%
at 40
 
2.8%
all 40
 
2.8%
2024-01-01T21:25:06.098125image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 1296
14.1%
d 852
 
9.3%
h 636
 
6.9%
t 595
 
6.5%
o 555
 
6.0%
a 555
 
6.0%
c 497
 
5.4%
S 423
 
4.6%
w 423
 
4.6%
m 423
 
4.6%
Other values (13) 2922
31.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 7395
80.6%
Uppercase Letter 1397
 
15.2%
Space Separator 385
 
4.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 1296
17.5%
d 852
11.5%
h 636
8.6%
t 595
8.0%
o 555
7.5%
a 555
7.5%
c 497
 
6.7%
w 423
 
5.7%
m 423
 
5.7%
y 305
 
4.1%
Other values (5) 1258
17.0%
Uppercase Letter
ValueCountFrequency (%)
S 423
30.3%
U 284
20.3%
V 213
15.2%
M 213
15.2%
N 132
 
9.4%
R 92
 
6.6%
A 40
 
2.9%
Space Separator
ValueCountFrequency (%)
385
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 8792
95.8%
Common 385
 
4.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 1296
14.7%
d 852
 
9.7%
h 636
 
7.2%
t 595
 
6.8%
o 555
 
6.3%
a 555
 
6.3%
c 497
 
5.7%
S 423
 
4.8%
w 423
 
4.8%
m 423
 
4.8%
Other values (12) 2537
28.9%
Common
ValueCountFrequency (%)
385
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9177
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 1296
14.1%
d 852
 
9.3%
h 636
 
6.9%
t 595
 
6.5%
o 555
 
6.0%
a 555
 
6.0%
c 497
 
5.4%
S 423
 
4.6%
w 423
 
4.6%
m 423
 
4.6%
Other values (13) 2922
31.8%
Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
2024-01-01T21:25:06.376786image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Length

Max length10
Median length9
Mean length8.66634981
Min length8

Characters and Unicode

Total characters9117
Distinct characters23
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowSomewhat
2nd rowSomewhat
3rd rowSomewhat
4th rowUndecided
5th rowVery Much
ValueCountFrequency (%)
somewhat 454
31.6%
very 254
17.7%
much 254
17.7%
undecided 241
16.8%
not 103
 
7.2%
really 77
 
5.4%
at 26
 
1.8%
all 26
 
1.8%
2024-01-01T21:25:06.828784image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 1267
13.9%
d 723
 
7.9%
h 708
 
7.8%
t 583
 
6.4%
o 557
 
6.1%
a 557
 
6.1%
c 495
 
5.4%
S 454
 
5.0%
m 454
 
5.0%
w 454
 
5.0%
Other values (13) 2865
31.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 7325
80.3%
Uppercase Letter 1409
 
15.5%
Space Separator 383
 
4.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 1267
17.3%
d 723
9.9%
h 708
9.7%
t 583
8.0%
o 557
7.6%
a 557
7.6%
c 495
 
6.8%
m 454
 
6.2%
w 454
 
6.2%
y 331
 
4.5%
Other values (5) 1196
16.3%
Uppercase Letter
ValueCountFrequency (%)
S 454
32.2%
M 254
18.0%
V 254
18.0%
U 241
17.1%
N 103
 
7.3%
R 77
 
5.5%
A 26
 
1.8%
Space Separator
ValueCountFrequency (%)
383
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 8734
95.8%
Common 383
 
4.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 1267
14.5%
d 723
 
8.3%
h 708
 
8.1%
t 583
 
6.7%
o 557
 
6.4%
a 557
 
6.4%
c 495
 
5.7%
S 454
 
5.2%
m 454
 
5.2%
w 454
 
5.2%
Other values (12) 2482
28.4%
Common
ValueCountFrequency (%)
383
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9117
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 1267
13.9%
d 723
 
7.9%
h 708
 
7.8%
t 583
 
6.4%
o 557
 
6.1%
a 557
 
6.1%
c 495
 
5.4%
S 454
 
5.0%
m 454
 
5.0%
w 454
 
5.0%
Other values (13) 2865
31.4%
Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
2024-01-01T21:25:07.118829image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Length

Max length10
Median length9
Mean length8.615019011
Min length8

Characters and Unicode

Total characters9063
Distinct characters23
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowSomewhat
2nd rowSomewhat
3rd rowSomewhat
4th rowUndecided
5th rowVery Much
ValueCountFrequency (%)
somewhat 467
30.9%
very 382
25.3%
much 382
25.3%
undecided 141
 
9.3%
not 62
 
4.1%
really 46
 
3.0%
at 16
 
1.1%
all 16
 
1.1%
2024-01-01T21:25:07.584023image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 1177
 
13.0%
h 849
 
9.4%
t 545
 
6.0%
o 529
 
5.8%
a 529
 
5.8%
c 523
 
5.8%
S 467
 
5.2%
m 467
 
5.2%
w 467
 
5.2%
460
 
5.1%
Other values (13) 3050
33.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 7107
78.4%
Uppercase Letter 1496
 
16.5%
Space Separator 460
 
5.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 1177
16.6%
h 849
11.9%
t 545
7.7%
o 529
7.4%
a 529
7.4%
c 523
7.4%
m 467
 
6.6%
w 467
 
6.6%
y 428
 
6.0%
d 423
 
6.0%
Other values (5) 1170
16.5%
Uppercase Letter
ValueCountFrequency (%)
S 467
31.2%
M 382
25.5%
V 382
25.5%
U 141
 
9.4%
N 62
 
4.1%
R 46
 
3.1%
A 16
 
1.1%
Space Separator
ValueCountFrequency (%)
460
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 8603
94.9%
Common 460
 
5.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 1177
13.7%
h 849
 
9.9%
t 545
 
6.3%
o 529
 
6.1%
a 529
 
6.1%
c 523
 
6.1%
S 467
 
5.4%
m 467
 
5.4%
w 467
 
5.4%
y 428
 
5.0%
Other values (12) 2622
30.5%
Common
ValueCountFrequency (%)
460
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9063
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 1177
 
13.0%
h 849
 
9.4%
t 545
 
6.0%
o 529
 
5.8%
a 529
 
5.8%
c 523
 
5.8%
S 467
 
5.2%
m 467
 
5.2%
w 467
 
5.2%
460
 
5.1%
Other values (13) 3050
33.7%
Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
2024-01-01T21:25:07.868032image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Length

Max length10
Median length9
Mean length8.659695817
Min length8

Characters and Unicode

Total characters9110
Distinct characters23
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowSomewhat
2nd rowSomewhat
3rd rowVery Much
4th rowUndecided
5th rowVery Much
ValueCountFrequency (%)
somewhat 445
30.9%
very 278
19.3%
much 278
19.3%
undecided 242
16.8%
not 87
 
6.0%
really 62
 
4.3%
at 25
 
1.7%
all 25
 
1.7%
2024-01-01T21:25:08.321787image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 1269
13.9%
d 726
 
8.0%
h 723
 
7.9%
t 557
 
6.1%
o 532
 
5.8%
a 532
 
5.8%
c 520
 
5.7%
S 445
 
4.9%
m 445
 
4.9%
w 445
 
4.9%
Other values (13) 2916
32.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 7303
80.2%
Uppercase Letter 1417
 
15.6%
Space Separator 390
 
4.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 1269
17.4%
d 726
9.9%
h 723
9.9%
t 557
7.6%
o 532
7.3%
a 532
7.3%
c 520
7.1%
m 445
 
6.1%
w 445
 
6.1%
y 340
 
4.7%
Other values (5) 1214
16.6%
Uppercase Letter
ValueCountFrequency (%)
S 445
31.4%
M 278
19.6%
V 278
19.6%
U 242
17.1%
N 87
 
6.1%
R 62
 
4.4%
A 25
 
1.8%
Space Separator
ValueCountFrequency (%)
390
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 8720
95.7%
Common 390
 
4.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 1269
14.6%
d 726
 
8.3%
h 723
 
8.3%
t 557
 
6.4%
o 532
 
6.1%
a 532
 
6.1%
c 520
 
6.0%
S 445
 
5.1%
m 445
 
5.1%
w 445
 
5.1%
Other values (12) 2526
29.0%
Common
ValueCountFrequency (%)
390
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9110
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 1269
13.9%
d 726
 
8.0%
h 723
 
7.9%
t 557
 
6.1%
o 532
 
5.8%
a 532
 
5.8%
c 520
 
5.7%
S 445
 
4.9%
m 445
 
4.9%
w 445
 
4.9%
Other values (13) 2916
32.0%
Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
2024-01-01T21:25:08.557948image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Length

Max length10
Median length9
Mean length8.655893536
Min length8

Characters and Unicode

Total characters9106
Distinct characters23
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowSomewhat
2nd rowSomewhat
3rd rowVery Much
4th rowUndecided
5th rowSomewhat
ValueCountFrequency (%)
somewhat 460
31.9%
very 266
18.4%
much 266
18.4%
undecided 228
15.8%
not 98
 
6.8%
really 70
 
4.8%
at 28
 
1.9%
all 28
 
1.9%
2024-01-01T21:25:08.986235image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 1252
13.7%
h 726
 
8.0%
d 684
 
7.5%
t 586
 
6.4%
o 558
 
6.1%
a 558
 
6.1%
c 494
 
5.4%
S 460
 
5.1%
m 460
 
5.1%
w 460
 
5.1%
Other values (13) 2868
31.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 7298
80.1%
Uppercase Letter 1416
 
15.6%
Space Separator 392
 
4.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 1252
17.2%
h 726
9.9%
d 684
9.4%
t 586
8.0%
o 558
7.6%
a 558
7.6%
c 494
 
6.8%
m 460
 
6.3%
w 460
 
6.3%
y 336
 
4.6%
Other values (5) 1184
16.2%
Uppercase Letter
ValueCountFrequency (%)
S 460
32.5%
M 266
18.8%
V 266
18.8%
U 228
16.1%
N 98
 
6.9%
R 70
 
4.9%
A 28
 
2.0%
Space Separator
ValueCountFrequency (%)
392
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 8714
95.7%
Common 392
 
4.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 1252
14.4%
h 726
 
8.3%
d 684
 
7.8%
t 586
 
6.7%
o 558
 
6.4%
a 558
 
6.4%
c 494
 
5.7%
S 460
 
5.3%
m 460
 
5.3%
w 460
 
5.3%
Other values (12) 2476
28.4%
Common
ValueCountFrequency (%)
392
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9106
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 1252
13.7%
h 726
 
8.0%
d 684
 
7.5%
t 586
 
6.4%
o 558
 
6.1%
a 558
 
6.1%
c 494
 
5.4%
S 460
 
5.1%
m 460
 
5.1%
w 460
 
5.1%
Other values (13) 2868
31.5%
Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
2024-01-01T21:25:09.270319image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Length

Max length10
Median length9
Mean length8.727186312
Min length8

Characters and Unicode

Total characters9181
Distinct characters23
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowSomewhat
2nd rowSomewhat
3rd rowVery Much
4th rowUndecided
5th rowSomewhat
ValueCountFrequency (%)
somewhat 410
28.4%
undecided 285
19.8%
very 234
16.2%
much 234
16.2%
not 123
 
8.5%
really 89
 
6.2%
at 34
 
2.4%
all 34
 
2.4%
2024-01-01T21:25:09.720369image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 1303
14.2%
d 855
 
9.3%
h 644
 
7.0%
t 567
 
6.2%
o 533
 
5.8%
a 533
 
5.8%
c 519
 
5.7%
S 410
 
4.5%
w 410
 
4.5%
m 410
 
4.5%
Other values (13) 2997
32.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 7381
80.4%
Uppercase Letter 1409
 
15.3%
Space Separator 391
 
4.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 1303
17.7%
d 855
11.6%
h 644
8.7%
t 567
7.7%
o 533
7.2%
a 533
7.2%
c 519
 
7.0%
w 410
 
5.6%
m 410
 
5.6%
y 323
 
4.4%
Other values (5) 1284
17.4%
Uppercase Letter
ValueCountFrequency (%)
S 410
29.1%
U 285
20.2%
V 234
16.6%
M 234
16.6%
N 123
 
8.7%
R 89
 
6.3%
A 34
 
2.4%
Space Separator
ValueCountFrequency (%)
391
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 8790
95.7%
Common 391
 
4.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 1303
14.8%
d 855
 
9.7%
h 644
 
7.3%
t 567
 
6.5%
o 533
 
6.1%
a 533
 
6.1%
c 519
 
5.9%
S 410
 
4.7%
w 410
 
4.7%
m 410
 
4.7%
Other values (12) 2606
29.6%
Common
ValueCountFrequency (%)
391
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9181
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 1303
14.2%
d 855
 
9.3%
h 644
 
7.0%
t 567
 
6.2%
o 533
 
5.8%
a 533
 
5.8%
c 519
 
5.7%
S 410
 
4.5%
w 410
 
4.5%
m 410
 
4.5%
Other values (13) 2997
32.6%
Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
2024-01-01T21:25:10.010889image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Length

Max length10
Median length9
Mean length8.741444867
Min length8

Characters and Unicode

Total characters9196
Distinct characters23
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowSomewhat
2nd rowSomewhat
3rd rowSomewhat
4th rowSomewhat
5th rowSomewhat
ValueCountFrequency (%)
somewhat 395
28.7%
undecided 370
26.9%
very 164
11.9%
much 164
11.9%
not 123
 
9.0%
really 88
 
6.4%
at 35
 
2.5%
all 35
 
2.5%
2024-01-01T21:25:10.467649image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 1387
15.1%
d 1110
 
12.1%
h 559
 
6.1%
t 553
 
6.0%
c 534
 
5.8%
o 518
 
5.6%
a 518
 
5.6%
S 395
 
4.3%
w 395
 
4.3%
m 395
 
4.3%
Other values (13) 2832
30.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 7535
81.9%
Uppercase Letter 1339
 
14.6%
Space Separator 322
 
3.5%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 1387
18.4%
d 1110
14.7%
h 559
7.4%
t 553
 
7.3%
c 534
 
7.1%
o 518
 
6.9%
a 518
 
6.9%
w 395
 
5.2%
m 395
 
5.2%
n 370
 
4.9%
Other values (5) 1196
15.9%
Uppercase Letter
ValueCountFrequency (%)
S 395
29.5%
U 370
27.6%
V 164
12.2%
M 164
12.2%
N 123
 
9.2%
R 88
 
6.6%
A 35
 
2.6%
Space Separator
ValueCountFrequency (%)
322
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 8874
96.5%
Common 322
 
3.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 1387
15.6%
d 1110
12.5%
h 559
 
6.3%
t 553
 
6.2%
c 534
 
6.0%
o 518
 
5.8%
a 518
 
5.8%
S 395
 
4.5%
w 395
 
4.5%
m 395
 
4.5%
Other values (12) 2510
28.3%
Common
ValueCountFrequency (%)
322
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9196
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 1387
15.1%
d 1110
 
12.1%
h 559
 
6.1%
t 553
 
6.0%
c 534
 
5.8%
o 518
 
5.6%
a 518
 
5.6%
S 395
 
4.3%
w 395
 
4.3%
m 395
 
4.3%
Other values (13) 2832
30.8%
Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
2024-01-01T21:25:10.745770image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Length

Max length10
Median length9
Mean length8.692965779
Min length8

Characters and Unicode

Total characters9145
Distinct characters23
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowSomewhat
2nd rowSomewhat
3rd rowSomewhat
4th rowSomewhat
5th rowVery Much
ValueCountFrequency (%)
somewhat 432
28.9%
very 304
20.4%
much 304
20.4%
undecided 207
13.9%
not 109
 
7.3%
really 81
 
5.4%
at 28
 
1.9%
all 28
 
1.9%
2024-01-01T21:25:11.194602image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 1231
 
13.5%
h 736
 
8.0%
d 621
 
6.8%
t 569
 
6.2%
o 541
 
5.9%
a 541
 
5.9%
c 511
 
5.6%
441
 
4.8%
S 432
 
4.7%
w 432
 
4.7%
Other values (13) 3090
33.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 7239
79.2%
Uppercase Letter 1465
 
16.0%
Space Separator 441
 
4.8%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 1231
17.0%
h 736
10.2%
d 621
8.6%
t 569
7.9%
o 541
7.5%
a 541
7.5%
c 511
7.1%
w 432
 
6.0%
m 432
 
6.0%
y 385
 
5.3%
Other values (5) 1240
17.1%
Uppercase Letter
ValueCountFrequency (%)
S 432
29.5%
V 304
20.8%
M 304
20.8%
U 207
14.1%
N 109
 
7.4%
R 81
 
5.5%
A 28
 
1.9%
Space Separator
ValueCountFrequency (%)
441
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 8704
95.2%
Common 441
 
4.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 1231
14.1%
h 736
 
8.5%
d 621
 
7.1%
t 569
 
6.5%
o 541
 
6.2%
a 541
 
6.2%
c 511
 
5.9%
S 432
 
5.0%
w 432
 
5.0%
m 432
 
5.0%
Other values (12) 2658
30.5%
Common
ValueCountFrequency (%)
441
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9145
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 1231
 
13.5%
h 736
 
8.0%
d 621
 
6.8%
t 569
 
6.2%
o 541
 
5.9%
a 541
 
5.9%
c 511
 
5.6%
441
 
4.8%
S 432
 
4.7%
w 432
 
4.7%
Other values (13) 3090
33.8%
Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
2024-01-01T21:25:11.477336image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Length

Max length10
Median length9
Mean length8.779467681
Min length8

Characters and Unicode

Total characters9236
Distinct characters23
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowSomewhat
2nd rowSomewhat
3rd rowSomewhat
4th rowVery Much
5th rowSomewhat
ValueCountFrequency (%)
somewhat 417
27.1%
very 235
15.3%
much 235
15.3%
undecided 215
14.0%
not 185
12.0%
really 117
 
7.6%
at 68
 
4.4%
all 68
 
4.4%
2024-01-01T21:25:11.919347image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 1199
 
13.0%
t 670
 
7.3%
h 652
 
7.1%
d 645
 
7.0%
o 602
 
6.5%
a 602
 
6.5%
488
 
5.3%
c 450
 
4.9%
S 417
 
4.5%
w 417
 
4.5%
Other values (13) 3094
33.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 7276
78.8%
Uppercase Letter 1472
 
15.9%
Space Separator 488
 
5.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 1199
16.5%
t 670
9.2%
h 652
9.0%
d 645
8.9%
o 602
8.3%
a 602
8.3%
c 450
 
6.2%
w 417
 
5.7%
m 417
 
5.7%
l 370
 
5.1%
Other values (5) 1252
17.2%
Uppercase Letter
ValueCountFrequency (%)
S 417
28.3%
V 235
16.0%
M 235
16.0%
U 215
14.6%
N 185
12.6%
R 117
 
7.9%
A 68
 
4.6%
Space Separator
ValueCountFrequency (%)
488
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 8748
94.7%
Common 488
 
5.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 1199
13.7%
t 670
 
7.7%
h 652
 
7.5%
d 645
 
7.4%
o 602
 
6.9%
a 602
 
6.9%
c 450
 
5.1%
S 417
 
4.8%
w 417
 
4.8%
m 417
 
4.8%
Other values (12) 2677
30.6%
Common
ValueCountFrequency (%)
488
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9236
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 1199
 
13.0%
t 670
 
7.3%
h 652
 
7.1%
d 645
 
7.0%
o 602
 
6.5%
a 602
 
6.5%
488
 
5.3%
c 450
 
4.9%
S 417
 
4.5%
w 417
 
4.5%
Other values (13) 3094
33.5%
Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
2024-01-01T21:25:12.200300image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Length

Max length10
Median length9
Mean length8.689163498
Min length8

Characters and Unicode

Total characters9141
Distinct characters23
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowSomewhat
2nd rowSomewhat
3rd rowVery Much
4th rowVery Much
5th rowSomewhat
ValueCountFrequency (%)
somewhat 408
26.3%
very 392
25.3%
much 392
25.3%
undecided 171
11.0%
not 81
 
5.2%
really 57
 
3.7%
at 24
 
1.5%
all 24
 
1.5%
2024-01-01T21:25:12.638168image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 1199
 
13.1%
h 800
 
8.8%
c 563
 
6.2%
d 513
 
5.6%
t 513
 
5.6%
497
 
5.4%
a 489
 
5.3%
o 489
 
5.3%
y 449
 
4.9%
S 408
 
4.5%
Other values (13) 3221
35.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 7119
77.9%
Uppercase Letter 1525
 
16.7%
Space Separator 497
 
5.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 1199
16.8%
h 800
11.2%
c 563
7.9%
d 513
 
7.2%
t 513
 
7.2%
a 489
 
6.9%
o 489
 
6.9%
y 449
 
6.3%
w 408
 
5.7%
m 408
 
5.7%
Other values (5) 1288
18.1%
Uppercase Letter
ValueCountFrequency (%)
S 408
26.8%
V 392
25.7%
M 392
25.7%
U 171
11.2%
N 81
 
5.3%
R 57
 
3.7%
A 24
 
1.6%
Space Separator
ValueCountFrequency (%)
497
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 8644
94.6%
Common 497
 
5.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 1199
13.9%
h 800
 
9.3%
c 563
 
6.5%
d 513
 
5.9%
t 513
 
5.9%
a 489
 
5.7%
o 489
 
5.7%
y 449
 
5.2%
S 408
 
4.7%
w 408
 
4.7%
Other values (12) 2813
32.5%
Common
ValueCountFrequency (%)
497
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9141
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 1199
 
13.1%
h 800
 
8.8%
c 563
 
6.2%
d 513
 
5.6%
t 513
 
5.6%
497
 
5.4%
a 489
 
5.3%
o 489
 
5.3%
y 449
 
4.9%
S 408
 
4.5%
Other values (13) 3221
35.2%
Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
2024-01-01T21:25:12.927001image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Length

Max length10
Median length9
Mean length8.715779468
Min length8

Characters and Unicode

Total characters9169
Distinct characters23
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowSomewhat
2nd rowSomewhat
3rd rowVery Much
4th rowVery Much
5th rowVery Much
ValueCountFrequency (%)
somewhat 419
26.5%
very 369
23.3%
much 369
23.3%
undecided 144
 
9.1%
not 120
 
7.6%
really 80
 
5.1%
at 40
 
2.5%
all 40
 
2.5%
2024-01-01T21:25:13.386227image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 1156
 
12.6%
h 788
 
8.6%
t 579
 
6.3%
a 539
 
5.9%
o 539
 
5.9%
529
 
5.8%
c 513
 
5.6%
y 449
 
4.9%
d 432
 
4.7%
S 419
 
4.6%
Other values (13) 3226
35.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 7099
77.4%
Uppercase Letter 1541
 
16.8%
Space Separator 529
 
5.8%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 1156
16.3%
h 788
11.1%
t 579
8.2%
a 539
7.6%
o 539
7.6%
c 513
7.2%
y 449
 
6.3%
d 432
 
6.1%
w 419
 
5.9%
m 419
 
5.9%
Other values (5) 1266
17.8%
Uppercase Letter
ValueCountFrequency (%)
S 419
27.2%
V 369
23.9%
M 369
23.9%
U 144
 
9.3%
N 120
 
7.8%
R 80
 
5.2%
A 40
 
2.6%
Space Separator
ValueCountFrequency (%)
529
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 8640
94.2%
Common 529
 
5.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 1156
13.4%
h 788
 
9.1%
t 579
 
6.7%
a 539
 
6.2%
o 539
 
6.2%
c 513
 
5.9%
y 449
 
5.2%
d 432
 
5.0%
S 419
 
4.8%
w 419
 
4.8%
Other values (12) 2807
32.5%
Common
ValueCountFrequency (%)
529
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9169
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 1156
 
12.6%
h 788
 
8.6%
t 579
 
6.3%
a 539
 
5.9%
o 539
 
5.9%
529
 
5.8%
c 513
 
5.6%
y 449
 
4.9%
d 432
 
4.7%
S 419
 
4.6%
Other values (13) 3226
35.2%
Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
2024-01-01T21:25:13.677906image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Length

Max length10
Median length9
Mean length8.646387833
Min length8

Characters and Unicode

Total characters9096
Distinct characters23
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowSomewhat
2nd rowSomewhat
3rd rowVery Much
4th rowSomewhat
5th rowVery Much
ValueCountFrequency (%)
very 488
30.6%
much 488
30.6%
somewhat 416
26.0%
undecided 104
 
6.5%
not 44
 
2.8%
really 31
 
1.9%
at 13
 
0.8%
all 13
 
0.8%
2024-01-01T21:25:14.148272image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 1143
 
12.6%
h 904
 
9.9%
c 592
 
6.5%
545
 
6.0%
y 519
 
5.7%
V 488
 
5.4%
r 488
 
5.4%
M 488
 
5.4%
u 488
 
5.4%
t 473
 
5.2%
Other values (13) 2968
32.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 6967
76.6%
Uppercase Letter 1584
 
17.4%
Space Separator 545
 
6.0%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 1143
16.4%
h 904
13.0%
c 592
8.5%
y 519
7.4%
r 488
7.0%
u 488
7.0%
t 473
6.8%
a 460
6.6%
o 460
6.6%
m 416
 
6.0%
Other values (5) 1024
14.7%
Uppercase Letter
ValueCountFrequency (%)
V 488
30.8%
M 488
30.8%
S 416
26.3%
U 104
 
6.6%
N 44
 
2.8%
R 31
 
2.0%
A 13
 
0.8%
Space Separator
ValueCountFrequency (%)
545
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 8551
94.0%
Common 545
 
6.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 1143
13.4%
h 904
 
10.6%
c 592
 
6.9%
y 519
 
6.1%
V 488
 
5.7%
r 488
 
5.7%
M 488
 
5.7%
u 488
 
5.7%
t 473
 
5.5%
a 460
 
5.4%
Other values (12) 2508
29.3%
Common
ValueCountFrequency (%)
545
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9096
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 1143
 
12.6%
h 904
 
9.9%
c 592
 
6.5%
545
 
6.0%
y 519
 
5.7%
V 488
 
5.4%
r 488
 
5.4%
M 488
 
5.4%
u 488
 
5.4%
t 473
 
5.2%
Other values (13) 2968
32.6%
Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
2024-01-01T21:25:14.427337image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Length

Max length10
Median length9
Mean length8.77851711
Min length8

Characters and Unicode

Total characters9235
Distinct characters23
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowSomewhat
2nd rowSomewhat
3rd rowVery Much
4th rowSomewhat
5th rowVery Much
ValueCountFrequency (%)
somewhat 420
27.2%
very 238
15.4%
much 238
15.4%
undecided 207
13.4%
not 187
12.1%
really 121
 
7.8%
at 66
 
4.3%
all 66
 
4.3%
2024-01-01T21:25:14.872157image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 1193
 
12.9%
t 673
 
7.3%
h 658
 
7.1%
d 621
 
6.7%
o 607
 
6.6%
a 607
 
6.6%
491
 
5.3%
c 445
 
4.8%
S 420
 
4.5%
w 420
 
4.5%
Other values (13) 3100
33.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 7267
78.7%
Uppercase Letter 1477
 
16.0%
Space Separator 491
 
5.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 1193
16.4%
t 673
9.3%
h 658
9.1%
d 621
8.5%
o 607
8.4%
a 607
8.4%
c 445
 
6.1%
w 420
 
5.8%
m 420
 
5.8%
l 374
 
5.1%
Other values (5) 1249
17.2%
Uppercase Letter
ValueCountFrequency (%)
S 420
28.4%
V 238
16.1%
M 238
16.1%
U 207
14.0%
N 187
12.7%
R 121
 
8.2%
A 66
 
4.5%
Space Separator
ValueCountFrequency (%)
491
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 8744
94.7%
Common 491
 
5.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 1193
13.6%
t 673
 
7.7%
h 658
 
7.5%
d 621
 
7.1%
o 607
 
6.9%
a 607
 
6.9%
c 445
 
5.1%
S 420
 
4.8%
w 420
 
4.8%
m 420
 
4.8%
Other values (12) 2680
30.6%
Common
ValueCountFrequency (%)
491
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9235
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 1193
 
12.9%
t 673
 
7.3%
h 658
 
7.1%
d 621
 
6.7%
o 607
 
6.6%
a 607
 
6.6%
491
 
5.3%
c 445
 
4.8%
S 420
 
4.5%
w 420
 
4.5%
Other values (13) 3100
33.6%
Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
2024-01-01T21:25:15.169728image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Length

Max length10
Median length9
Mean length8.682509506
Min length8

Characters and Unicode

Total characters9134
Distinct characters23
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowSomewhat
2nd rowSomewhat
3rd rowVery Much
4th rowSomewhat
5th rowSomewhat
ValueCountFrequency (%)
very 518
31.7%
much 518
31.7%
somewhat 381
23.3%
undecided 106
 
6.5%
not 47
 
2.9%
really 32
 
2.0%
at 15
 
0.9%
all 15
 
0.9%
2024-01-01T21:25:15.633147image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 1143
12.5%
h 899
 
9.8%
c 624
 
6.8%
580
 
6.3%
y 550
 
6.0%
V 518
 
5.7%
r 518
 
5.7%
M 518
 
5.7%
u 518
 
5.7%
t 443
 
4.9%
Other values (13) 2823
30.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 6937
75.9%
Uppercase Letter 1617
 
17.7%
Space Separator 580
 
6.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 1143
16.5%
h 899
13.0%
c 624
9.0%
y 550
7.9%
r 518
7.5%
u 518
7.5%
t 443
 
6.4%
a 428
 
6.2%
o 428
 
6.2%
m 381
 
5.5%
Other values (5) 1005
14.5%
Uppercase Letter
ValueCountFrequency (%)
V 518
32.0%
M 518
32.0%
S 381
23.6%
U 106
 
6.6%
N 47
 
2.9%
R 32
 
2.0%
A 15
 
0.9%
Space Separator
ValueCountFrequency (%)
580
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 8554
93.7%
Common 580
 
6.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 1143
13.4%
h 899
 
10.5%
c 624
 
7.3%
y 550
 
6.4%
V 518
 
6.1%
r 518
 
6.1%
M 518
 
6.1%
u 518
 
6.1%
t 443
 
5.2%
a 428
 
5.0%
Other values (12) 2395
28.0%
Common
ValueCountFrequency (%)
580
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9134
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 1143
12.5%
h 899
 
9.8%
c 624
 
6.8%
580
 
6.3%
y 550
 
6.0%
V 518
 
5.7%
r 518
 
5.7%
M 518
 
5.7%
u 518
 
5.7%
t 443
 
4.9%
Other values (13) 2823
30.9%
Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
2024-01-01T21:25:15.914212image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Length

Max length10
Median length9
Mean length8.69391635
Min length8

Characters and Unicode

Total characters9146
Distinct characters23
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowSomewhat
2nd rowSomewhat
3rd rowSomewhat
4th rowVery Much
5th rowSomewhat
ValueCountFrequency (%)
somewhat 443
30.1%
very 269
18.2%
much 269
18.2%
undecided 219
14.9%
not 121
 
8.2%
really 89
 
6.0%
at 32
 
2.2%
all 32
 
2.2%
2024-01-01T21:25:16.359266image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 1239
13.5%
h 712
 
7.8%
d 657
 
7.2%
t 596
 
6.5%
o 564
 
6.2%
a 564
 
6.2%
c 488
 
5.3%
S 443
 
4.8%
m 443
 
4.8%
w 443
 
4.8%
Other values (13) 2997
32.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 7282
79.6%
Uppercase Letter 1442
 
15.8%
Space Separator 422
 
4.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 1239
17.0%
h 712
9.8%
d 657
9.0%
t 596
8.2%
o 564
7.7%
a 564
7.7%
c 488
 
6.7%
m 443
 
6.1%
w 443
 
6.1%
y 358
 
4.9%
Other values (5) 1218
16.7%
Uppercase Letter
ValueCountFrequency (%)
S 443
30.7%
M 269
18.7%
V 269
18.7%
U 219
15.2%
N 121
 
8.4%
R 89
 
6.2%
A 32
 
2.2%
Space Separator
ValueCountFrequency (%)
422
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 8724
95.4%
Common 422
 
4.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 1239
14.2%
h 712
 
8.2%
d 657
 
7.5%
t 596
 
6.8%
o 564
 
6.5%
a 564
 
6.5%
c 488
 
5.6%
S 443
 
5.1%
m 443
 
5.1%
w 443
 
5.1%
Other values (12) 2575
29.5%
Common
ValueCountFrequency (%)
422
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9146
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 1239
13.5%
h 712
 
7.8%
d 657
 
7.2%
t 596
 
6.5%
o 564
 
6.2%
a 564
 
6.2%
c 488
 
5.3%
S 443
 
4.8%
m 443
 
4.8%
w 443
 
4.8%
Other values (13) 2997
32.8%
Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
2024-01-01T21:25:16.663139image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Length

Max length10
Median length9
Mean length8.719581749
Min length8

Characters and Unicode

Total characters9173
Distinct characters23
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowSomewhat
2nd rowSomewhat
3rd rowSomewhat
4th rowUndecided
5th rowVery Much
ValueCountFrequency (%)
very 436
27.3%
much 436
27.3%
somewhat 378
23.6%
undecided 155
 
9.7%
not 83
 
5.2%
really 55
 
3.4%
at 28
 
1.8%
all 28
 
1.8%
2024-01-01T21:25:17.154083image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 1179
 
12.9%
h 814
 
8.9%
c 591
 
6.4%
547
 
6.0%
y 491
 
5.4%
t 489
 
5.3%
d 465
 
5.1%
a 461
 
5.0%
o 461
 
5.0%
V 436
 
4.8%
Other values (13) 3239
35.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 7055
76.9%
Uppercase Letter 1571
 
17.1%
Space Separator 547
 
6.0%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 1179
16.7%
h 814
11.5%
c 591
8.4%
y 491
 
7.0%
t 489
 
6.9%
d 465
 
6.6%
a 461
 
6.5%
o 461
 
6.5%
r 436
 
6.2%
u 436
 
6.2%
Other values (5) 1232
17.5%
Uppercase Letter
ValueCountFrequency (%)
V 436
27.8%
M 436
27.8%
S 378
24.1%
U 155
 
9.9%
N 83
 
5.3%
R 55
 
3.5%
A 28
 
1.8%
Space Separator
ValueCountFrequency (%)
547
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 8626
94.0%
Common 547
 
6.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 1179
13.7%
h 814
 
9.4%
c 591
 
6.9%
y 491
 
5.7%
t 489
 
5.7%
d 465
 
5.4%
a 461
 
5.3%
o 461
 
5.3%
V 436
 
5.1%
r 436
 
5.1%
Other values (12) 2803
32.5%
Common
ValueCountFrequency (%)
547
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9173
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 1179
 
12.9%
h 814
 
8.9%
c 591
 
6.4%
547
 
6.0%
y 491
 
5.4%
t 489
 
5.3%
d 465
 
5.1%
a 461
 
5.0%
o 461
 
5.0%
V 436
 
4.8%
Other values (13) 3239
35.3%
Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
2024-01-01T21:25:17.440573image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Length

Max length10
Median length9
Mean length8.719581749
Min length8

Characters and Unicode

Total characters9173
Distinct characters23
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowSomewhat
2nd rowSomewhat
3rd rowSomewhat
4th rowUndecided
5th rowSomewhat
ValueCountFrequency (%)
somewhat 424
29.6%
undecided 294
20.5%
very 205
14.3%
much 205
14.3%
not 129
 
9.0%
really 84
 
5.9%
at 45
 
3.1%
all 45
 
3.1%
2024-01-01T21:25:17.876703image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 1301
14.2%
d 882
 
9.6%
h 629
 
6.9%
t 598
 
6.5%
o 553
 
6.0%
a 553
 
6.0%
c 499
 
5.4%
S 424
 
4.6%
w 424
 
4.6%
m 424
 
4.6%
Other values (13) 2886
31.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 7408
80.8%
Uppercase Letter 1386
 
15.1%
Space Separator 379
 
4.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 1301
17.6%
d 882
11.9%
h 629
8.5%
t 598
8.1%
o 553
7.5%
a 553
7.5%
c 499
 
6.7%
w 424
 
5.7%
m 424
 
5.7%
n 294
 
4.0%
Other values (5) 1251
16.9%
Uppercase Letter
ValueCountFrequency (%)
S 424
30.6%
U 294
21.2%
V 205
14.8%
M 205
14.8%
N 129
 
9.3%
R 84
 
6.1%
A 45
 
3.2%
Space Separator
ValueCountFrequency (%)
379
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 8794
95.9%
Common 379
 
4.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 1301
14.8%
d 882
 
10.0%
h 629
 
7.2%
t 598
 
6.8%
o 553
 
6.3%
a 553
 
6.3%
c 499
 
5.7%
S 424
 
4.8%
w 424
 
4.8%
m 424
 
4.8%
Other values (12) 2507
28.5%
Common
ValueCountFrequency (%)
379
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9173
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 1301
14.2%
d 882
 
9.6%
h 629
 
6.9%
t 598
 
6.5%
o 553
 
6.0%
a 553
 
6.0%
c 499
 
5.4%
S 424
 
4.6%
w 424
 
4.6%
m 424
 
4.6%
Other values (13) 2886
31.5%
Distinct377
Distinct (%)35.8%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
2024-01-01T21:25:18.432992image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Length

Max length334
Median length289
Mean length18.81273764
Min length1

Characters and Unicode

Total characters19791
Distinct characters68
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique292 ?
Unique (%)27.8%

Sample

1st rowtest
2nd rowLive class
3rd rowFormative
4th rowIndividual assignment
5th rowPortfolio
ValueCountFrequency (%)
lecture 517
16.8%
live 505
16.4%
youtube 402
 
13.0%
video 318
 
10.3%
and 93
 
3.0%
recorded 69
 
2.2%
demonstration 31
 
1.0%
or 29
 
0.9%
pre-recorded 29
 
0.9%
i 28
 
0.9%
Other values (388) 1063
34.5%
2024-01-01T21:25:19.195952image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 3216
16.2%
2172
 
11.0%
u 1496
 
7.6%
o 1289
 
6.5%
t 1239
 
6.3%
i 1209
 
6.1%
r 1122
 
5.7%
c 821
 
4.1%
d 797
 
4.0%
l 722
 
3.6%
Other values (58) 5708
28.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 15350
77.6%
Space Separator 2172
 
11.0%
Uppercase Letter 2014
 
10.2%
Other Punctuation 194
 
1.0%
Dash Punctuation 47
 
0.2%
Open Punctuation 5
 
< 0.1%
Close Punctuation 5
 
< 0.1%
Decimal Number 3
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 3216
21.0%
u 1496
9.7%
o 1289
8.4%
t 1239
 
8.1%
i 1209
 
7.9%
r 1122
 
7.3%
c 821
 
5.3%
d 797
 
5.2%
l 722
 
4.7%
v 714
 
4.7%
Other values (16) 2725
17.8%
Uppercase Letter
ValueCountFrequency (%)
L 551
27.4%
Y 363
18.0%
T 200
 
9.9%
V 168
 
8.3%
E 96
 
4.8%
I 79
 
3.9%
O 63
 
3.1%
D 60
 
3.0%
P 55
 
2.7%
R 51
 
2.5%
Other values (16) 328
16.3%
Other Punctuation
ValueCountFrequency (%)
, 128
66.0%
. 33
 
17.0%
/ 18
 
9.3%
& 8
 
4.1%
' 3
 
1.5%
: 2
 
1.0%
? 1
 
0.5%
@ 1
 
0.5%
Decimal Number
ValueCountFrequency (%)
5 1
33.3%
2 1
33.3%
3 1
33.3%
Space Separator
ValueCountFrequency (%)
2172
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 47
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 17364
87.7%
Common 2427
 
12.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 3216
18.5%
u 1496
 
8.6%
o 1289
 
7.4%
t 1239
 
7.1%
i 1209
 
7.0%
r 1122
 
6.5%
c 821
 
4.7%
d 797
 
4.6%
l 722
 
4.2%
v 714
 
4.1%
Other values (42) 4739
27.3%
Common
ValueCountFrequency (%)
2172
89.5%
, 128
 
5.3%
- 47
 
1.9%
. 33
 
1.4%
/ 18
 
0.7%
& 8
 
0.3%
( 5
 
0.2%
) 5
 
0.2%
' 3
 
0.1%
: 2
 
0.1%
Other values (6) 6
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 19791
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 3216
16.2%
2172
 
11.0%
u 1496
 
7.6%
o 1289
 
6.5%
t 1239
 
6.3%
i 1209
 
6.1%
r 1122
 
5.7%
c 821
 
4.1%
d 797
 
4.0%
l 722
 
3.6%
Other values (58) 5708
28.8%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
2024-01-01T21:25:19.354048image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.708174905
Min length2

Characters and Unicode

Total characters2849
Distinct characters5
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowYes
2nd rowYes
3rd rowYes
4th rowYes
5th rowNo
ValueCountFrequency (%)
yes 745
70.8%
no 307
29.2%
2024-01-01T21:25:19.637899image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
Y 745
26.1%
e 745
26.1%
s 745
26.1%
N 307
10.8%
o 307
10.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1797
63.1%
Uppercase Letter 1052
36.9%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 745
41.5%
s 745
41.5%
o 307
17.1%
Uppercase Letter
ValueCountFrequency (%)
Y 745
70.8%
N 307
29.2%

Most occurring scripts

ValueCountFrequency (%)
Latin 2849
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
Y 745
26.1%
e 745
26.1%
s 745
26.1%
N 307
10.8%
o 307
10.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2849
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
Y 745
26.1%
e 745
26.1%
s 745
26.1%
N 307
10.8%
o 307
10.8%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
2024-01-01T21:25:19.783146image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.823193916
Min length2

Characters and Unicode

Total characters2970
Distinct characters5
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowYes
2nd rowYes
3rd rowYes
4th rowNo
5th rowYes
ValueCountFrequency (%)
yes 866
82.3%
no 186
 
17.7%
2024-01-01T21:25:20.069519image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
Y 866
29.2%
e 866
29.2%
s 866
29.2%
N 186
 
6.3%
o 186
 
6.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1918
64.6%
Uppercase Letter 1052
35.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 866
45.2%
s 866
45.2%
o 186
 
9.7%
Uppercase Letter
ValueCountFrequency (%)
Y 866
82.3%
N 186
 
17.7%

Most occurring scripts

ValueCountFrequency (%)
Latin 2970
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
Y 866
29.2%
e 866
29.2%
s 866
29.2%
N 186
 
6.3%
o 186
 
6.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2970
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
Y 866
29.2%
e 866
29.2%
s 866
29.2%
N 186
 
6.3%
o 186
 
6.3%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
2024-01-01T21:25:20.208425image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.979087452
Min length2

Characters and Unicode

Total characters3134
Distinct characters5
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowYes
2nd rowYes
3rd rowYes
4th rowYes
5th rowYes
ValueCountFrequency (%)
yes 1030
97.9%
no 22
 
2.1%
2024-01-01T21:25:20.493549image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
Y 1030
32.9%
e 1030
32.9%
s 1030
32.9%
N 22
 
0.7%
o 22
 
0.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2082
66.4%
Uppercase Letter 1052
33.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 1030
49.5%
s 1030
49.5%
o 22
 
1.1%
Uppercase Letter
ValueCountFrequency (%)
Y 1030
97.9%
N 22
 
2.1%

Most occurring scripts

ValueCountFrequency (%)
Latin 3134
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
Y 1030
32.9%
e 1030
32.9%
s 1030
32.9%
N 22
 
0.7%
o 22
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3134
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
Y 1030
32.9%
e 1030
32.9%
s 1030
32.9%
N 22
 
0.7%
o 22
 
0.7%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
2024-01-01T21:25:20.845514image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Length

Max length40
Median length21
Mean length28.4134981
Min length21

Characters and Unicode

Total characters29891
Distinct characters26
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowRead the instructions
2nd rowHave a go and learn by "trial and error"
3rd rowRead the instructions
4th rowRead the instructions
5th rowListen to or ask for an explaination
ValueCountFrequency (%)
read 575
 
10.7%
instructions 575
 
10.7%
the 575
 
10.7%
and 322
 
6.0%
for 316
 
5.9%
an 316
 
5.9%
explaination 316
 
5.9%
ask 316
 
5.9%
or 316
 
5.9%
to 316
 
5.9%
Other values (8) 1443
26.8%
2024-01-01T21:25:21.365209image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4334
14.5%
n 2897
9.7%
t 2834
9.5%
a 2805
9.4%
e 2265
7.6%
i 2259
7.6%
o 2161
 
7.2%
r 2012
 
6.7%
s 1782
 
6.0%
d 897
 
3.0%
Other values (16) 5645
18.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 24183
80.9%
Space Separator 4334
 
14.5%
Uppercase Letter 1052
 
3.5%
Other Punctuation 322
 
1.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
n 2897
12.0%
t 2834
11.7%
a 2805
11.6%
e 2265
9.4%
i 2259
9.3%
o 2161
8.9%
r 2012
8.3%
s 1782
7.4%
d 897
 
3.7%
l 638
 
2.6%
Other values (11) 3633
15.0%
Uppercase Letter
ValueCountFrequency (%)
R 575
54.7%
L 316
30.0%
H 161
 
15.3%
Space Separator
ValueCountFrequency (%)
4334
100.0%
Other Punctuation
ValueCountFrequency (%)
" 322
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 25235
84.4%
Common 4656
 
15.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
n 2897
11.5%
t 2834
11.2%
a 2805
11.1%
e 2265
9.0%
i 2259
9.0%
o 2161
8.6%
r 2012
8.0%
s 1782
 
7.1%
d 897
 
3.6%
l 638
 
2.5%
Other values (14) 4685
18.6%
Common
ValueCountFrequency (%)
4334
93.1%
" 322
 
6.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 29891
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4334
14.5%
n 2897
9.7%
t 2834
9.5%
a 2805
9.4%
e 2265
7.6%
i 2259
7.6%
o 2161
 
7.2%
r 2012
 
6.7%
s 1782
 
6.0%
d 897
 
3.0%
Other values (16) 5645
18.9%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
2024-01-01T21:25:21.730397image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Length

Max length37
Median length13
Mean length17.09505703
Min length13

Characters and Unicode

Total characters17984
Distinct characters23
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowLook at a map
2nd rowLook at a map
3rd rowLook at a map
4th rowAsk for spoken directions
5th rowAsk for spoken directions
ValueCountFrequency (%)
a 715
16.8%
look 704
16.6%
at 704
16.6%
map 704
16.6%
ask 337
7.9%
for 337
7.9%
spoken 337
7.9%
directions 337
7.9%
follow 11
 
0.3%
my 11
 
0.3%
Other values (5) 55
 
1.3%
2024-01-01T21:25:22.272250image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3200
17.8%
o 2474
13.8%
a 2145
11.9%
k 1378
 
7.7%
s 1055
 
5.9%
p 1052
 
5.8%
t 1041
 
5.8%
m 737
 
4.1%
e 707
 
3.9%
L 704
 
3.9%
Other values (13) 3491
19.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 13732
76.4%
Space Separator 3200
 
17.8%
Uppercase Letter 1052
 
5.8%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 2474
18.0%
a 2145
15.6%
k 1378
10.0%
s 1055
7.7%
p 1052
7.7%
t 1041
7.6%
m 737
 
5.4%
e 707
 
5.1%
n 685
 
5.0%
r 685
 
5.0%
Other values (9) 1773
12.9%
Uppercase Letter
ValueCountFrequency (%)
L 704
66.9%
A 337
32.0%
F 11
 
1.0%
Space Separator
ValueCountFrequency (%)
3200
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 14784
82.2%
Common 3200
 
17.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 2474
16.7%
a 2145
14.5%
k 1378
9.3%
s 1055
 
7.1%
p 1052
 
7.1%
t 1041
 
7.0%
m 737
 
5.0%
e 707
 
4.8%
L 704
 
4.8%
n 685
 
4.6%
Other values (12) 2806
19.0%
Common
ValueCountFrequency (%)
3200
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 17984
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3200
17.8%
o 2474
13.8%
a 2145
11.9%
k 1378
 
7.7%
s 1055
 
5.9%
p 1052
 
5.8%
t 1041
 
5.8%
m 737
 
4.1%
e 707
 
3.9%
L 704
 
3.9%
Other values (13) 3491
19.4%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
2024-01-01T21:25:22.869588image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Length

Max length37
Median length15
Mean length20.11977186
Min length15

Characters and Unicode

Total characters21166
Distinct characters24
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowFollow a recipe
2nd rowFollow a recipe
3rd rowFollow a recipe
4th rowFollow a recipe
5th rowFollow a recipe
ValueCountFrequency (%)
follow 976
23.9%
a 859
21.1%
recipe 783
19.2%
my 193
 
4.7%
instinct 193
 
4.7%
tasting 193
 
4.7%
as 193
 
4.7%
i 193
 
4.7%
cook 193
 
4.7%
call 76
 
1.9%
Other values (3) 228
 
5.6%
2024-01-01T21:25:23.539996image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3028
14.3%
o 2490
11.8%
l 2180
10.3%
e 1718
 
8.1%
i 1590
 
7.5%
a 1473
 
7.0%
c 1169
 
5.5%
F 976
 
4.6%
w 976
 
4.6%
r 935
 
4.4%
Other values (14) 4631
21.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 16700
78.9%
Space Separator 3028
 
14.3%
Uppercase Letter 1245
 
5.9%
Other Punctuation 193
 
0.9%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 2490
14.9%
l 2180
13.1%
e 1718
10.3%
i 1590
9.5%
a 1473
8.8%
c 1169
7.0%
w 976
 
5.8%
r 935
 
5.6%
p 859
 
5.1%
t 848
 
5.1%
Other values (9) 2462
14.7%
Uppercase Letter
ValueCountFrequency (%)
F 976
78.4%
I 193
 
15.5%
C 76
 
6.1%
Space Separator
ValueCountFrequency (%)
3028
100.0%
Other Punctuation
ValueCountFrequency (%)
, 193
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 17945
84.8%
Common 3221
 
15.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 2490
13.9%
l 2180
12.1%
e 1718
9.6%
i 1590
8.9%
a 1473
8.2%
c 1169
 
6.5%
F 976
 
5.4%
w 976
 
5.4%
r 935
 
5.2%
p 859
 
4.8%
Other values (12) 3579
19.9%
Common
ValueCountFrequency (%)
3028
94.0%
, 193
 
6.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 21166
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3028
14.3%
o 2490
11.8%
l 2180
10.3%
e 1718
 
8.1%
i 1590
 
7.5%
a 1473
 
7.0%
c 1169
 
5.5%
F 976
 
4.6%
w 976
 
4.6%
r 935
 
4.4%
Other values (14) 4631
21.9%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
2024-01-01T21:25:23.947225image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Length

Max length34
Median length16
Mean length22.40114068
Min length16

Characters and Unicode

Total characters23566
Distinct characters25
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowWrite Instructions
2nd rowExplain verbally
3rd rowDemonstrate and let them have a go
4th rowDemonstrate and let them have a go
5th rowExplain verbally
ValueCountFrequency (%)
explain 573
14.7%
verbally 573
14.7%
demonstrate 361
9.2%
and 361
9.2%
let 361
9.2%
them 361
9.2%
have 361
9.2%
a 361
9.2%
go 361
9.2%
write 118
 
3.0%
2024-01-01T21:25:24.534334image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2857
12.1%
a 2590
11.0%
e 2496
 
10.6%
l 2080
 
8.8%
t 1798
 
7.6%
n 1531
 
6.5%
r 1170
 
5.0%
v 934
 
4.0%
o 840
 
3.6%
i 809
 
3.4%
Other values (15) 6461
27.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 19539
82.9%
Space Separator 2857
 
12.1%
Uppercase Letter 1170
 
5.0%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2590
13.3%
e 2496
12.8%
l 2080
10.6%
t 1798
 
9.2%
n 1531
 
7.8%
r 1170
 
6.0%
v 934
 
4.8%
o 840
 
4.3%
i 809
 
4.1%
m 722
 
3.7%
Other values (10) 4569
23.4%
Uppercase Letter
ValueCountFrequency (%)
E 573
49.0%
D 361
30.9%
W 118
 
10.1%
I 118
 
10.1%
Space Separator
ValueCountFrequency (%)
2857
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 20709
87.9%
Common 2857
 
12.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2590
12.5%
e 2496
12.1%
l 2080
 
10.0%
t 1798
 
8.7%
n 1531
 
7.4%
r 1170
 
5.6%
v 934
 
4.5%
o 840
 
4.1%
i 809
 
3.9%
m 722
 
3.5%
Other values (14) 5739
27.7%
Common
ValueCountFrequency (%)
2857
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 23566
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2857
12.1%
a 2590
11.0%
e 2496
 
10.6%
l 2080
 
8.8%
t 1798
 
7.6%
n 1531
 
6.5%
r 1170
 
5.0%
v 934
 
4.0%
o 840
 
3.6%
i 809
 
3.4%
Other values (15) 6461
27.4%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
2024-01-01T21:25:25.001661image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Length

Max length26
Median length19
Mean length20.13117871
Min length19

Characters and Unicode

Total characters21178
Distinct characters19
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowI hear what you are saying
2nd rowI know how you feel
3rd rowI know how you feel
4th rowI see what you mean
5th rowI hear what you are saying
ValueCountFrequency (%)
i 1052
19.4%
you 1052
19.4%
what 596
11.0%
know 456
8.4%
how 456
8.4%
feel 456
8.4%
see 426
7.8%
mean 426
7.8%
hear 170
 
3.1%
are 170
 
3.1%
2024-01-01T21:25:26.050029image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4378
20.7%
e 2530
11.9%
o 1964
9.3%
a 1532
 
7.2%
w 1508
 
7.1%
h 1222
 
5.8%
y 1222
 
5.8%
I 1052
 
5.0%
n 1052
 
5.0%
u 1052
 
5.0%
Other values (9) 3666
17.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 15748
74.4%
Space Separator 4378
 
20.7%
Uppercase Letter 1052
 
5.0%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 2530
16.1%
o 1964
12.5%
a 1532
9.7%
w 1508
9.6%
h 1222
7.8%
y 1222
7.8%
n 1052
6.7%
u 1052
6.7%
s 596
 
3.8%
t 596
 
3.8%
Other values (7) 2474
15.7%
Space Separator
ValueCountFrequency (%)
4378
100.0%
Uppercase Letter
ValueCountFrequency (%)
I 1052
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 16800
79.3%
Common 4378
 
20.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 2530
15.1%
o 1964
11.7%
a 1532
9.1%
w 1508
9.0%
h 1222
 
7.3%
y 1222
 
7.3%
I 1052
 
6.3%
n 1052
 
6.3%
u 1052
 
6.3%
s 596
 
3.5%
Other values (8) 3070
18.3%
Common
ValueCountFrequency (%)
4378
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 21178
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4378
20.7%
e 2530
11.9%
o 1964
9.3%
a 1532
 
7.2%
w 1508
 
7.1%
h 1222
 
5.8%
y 1222
 
5.8%
I 1052
 
5.0%
n 1052
 
5.0%
u 1052
 
5.0%
Other values (9) 3666
17.3%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
2024-01-01T21:25:26.391741image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Length

Max length10
Median length7
Mean length8.328897338
Min length7

Characters and Unicode

Total characters8762
Distinct characters13
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowShow me
2nd rowLet me try
3rd rowLet me try
4th rowTell me
5th rowLet me try
ValueCountFrequency (%)
me 1052
40.9%
let 466
18.1%
try 466
18.1%
show 315
 
12.3%
tell 271
 
10.5%
2024-01-01T21:25:26.863069image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 1789
20.4%
1518
17.3%
m 1052
12.0%
t 932
10.6%
l 542
 
6.2%
L 466
 
5.3%
r 466
 
5.3%
y 466
 
5.3%
S 315
 
3.6%
h 315
 
3.6%
Other values (3) 901
10.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 6192
70.7%
Space Separator 1518
 
17.3%
Uppercase Letter 1052
 
12.0%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 1789
28.9%
m 1052
17.0%
t 932
15.1%
l 542
 
8.8%
r 466
 
7.5%
y 466
 
7.5%
h 315
 
5.1%
o 315
 
5.1%
w 315
 
5.1%
Uppercase Letter
ValueCountFrequency (%)
L 466
44.3%
S 315
29.9%
T 271
25.8%
Space Separator
ValueCountFrequency (%)
1518
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 7244
82.7%
Common 1518
 
17.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 1789
24.7%
m 1052
14.5%
t 932
12.9%
l 542
 
7.5%
L 466
 
6.4%
r 466
 
6.4%
y 466
 
6.4%
S 315
 
4.3%
h 315
 
4.3%
o 315
 
4.3%
Other values (2) 586
 
8.1%
Common
ValueCountFrequency (%)
1518
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8762
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 1789
20.4%
1518
17.3%
m 1052
12.0%
t 932
10.6%
l 542
 
6.2%
L 466
 
5.3%
r 466
 
5.3%
y 466
 
5.3%
S 315
 
3.6%
h 315
 
3.6%
Other values (3) 901
10.3%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
2024-01-01T21:25:27.271571image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Length

Max length20
Median length17
Mean length17.70722433
Min length13

Characters and Unicode

Total characters18628
Distinct characters23
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowListen to me explain
2nd rowListen to me explain
3rd rowWatch how I do it
4th rowListen to me explain
5th rowListen to me explain
ValueCountFrequency (%)
listen 496
10.8%
to 496
10.8%
me 496
10.8%
explain 496
10.8%
watch 370
8.1%
how 370
8.1%
i 370
8.1%
do 370
8.1%
it 370
8.1%
you 186
 
4.1%
Other values (3) 558
12.2%
2024-01-01T21:25:27.903445image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3526
18.9%
t 1732
 
9.3%
e 1674
 
9.0%
o 1608
 
8.6%
i 1362
 
7.3%
a 1238
 
6.6%
n 992
 
5.3%
h 926
 
5.0%
L 496
 
2.7%
p 496
 
2.7%
Other values (13) 4578
24.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 13680
73.4%
Space Separator 3526
 
18.9%
Uppercase Letter 1422
 
7.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 1732
12.7%
e 1674
12.2%
o 1608
11.8%
i 1362
10.0%
a 1238
9.0%
n 992
 
7.3%
h 926
 
6.8%
p 496
 
3.6%
l 496
 
3.6%
x 496
 
3.6%
Other values (8) 2660
19.4%
Uppercase Letter
ValueCountFrequency (%)
L 496
34.9%
W 370
26.0%
I 370
26.0%
Y 186
 
13.1%
Space Separator
ValueCountFrequency (%)
3526
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 15102
81.1%
Common 3526
 
18.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 1732
11.5%
e 1674
11.1%
o 1608
 
10.6%
i 1362
 
9.0%
a 1238
 
8.2%
n 992
 
6.6%
h 926
 
6.1%
L 496
 
3.3%
p 496
 
3.3%
l 496
 
3.3%
Other values (12) 4082
27.0%
Common
ValueCountFrequency (%)
3526
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18628
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3526
18.9%
t 1732
 
9.3%
e 1674
 
9.0%
o 1608
 
8.6%
i 1362
 
7.3%
a 1238
 
6.6%
n 992
 
5.3%
h 926
 
5.0%
L 496
 
2.7%
p 496
 
2.7%
Other values (13) 4578
24.6%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
2024-01-01T21:25:28.275726image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Length

Max length64
Median length14
Mean length27.128327
Min length5

Characters and Unicode

Total characters28539
Distinct characters23
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowWrite a letter
2nd rowGo back to the store, or send the faulty item to the head office
3rd rowGo back to the store, or send the faulty item to the head office
4th rowGo back to the store, or send the faulty item to the head office
5th rowWrite a letter
ValueCountFrequency (%)
the 1056
17.1%
to 704
11.4%
phone 421
 
6.8%
go 352
 
5.7%
back 352
 
5.7%
store 352
 
5.7%
or 352
 
5.7%
send 352
 
5.7%
faulty 352
 
5.7%
item 352
 
5.7%
Other values (5) 1541
24.9%
2024-01-01T21:25:28.820430image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5134
18.0%
e 4074
14.3%
t 3653
12.8%
o 2533
8.9%
h 1829
 
6.4%
a 1335
 
4.7%
r 1262
 
4.4%
f 1056
 
3.7%
i 983
 
3.4%
n 773
 
2.7%
Other values (13) 5907
20.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 22001
77.1%
Space Separator 5134
 
18.0%
Uppercase Letter 1052
 
3.7%
Other Punctuation 352
 
1.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 4074
18.5%
t 3653
16.6%
o 2533
11.5%
h 1829
8.3%
a 1335
 
6.1%
r 1262
 
5.7%
f 1056
 
4.8%
i 983
 
4.5%
n 773
 
3.5%
d 704
 
3.2%
Other values (8) 3799
17.3%
Uppercase Letter
ValueCountFrequency (%)
P 421
40.0%
G 352
33.5%
W 279
26.5%
Space Separator
ValueCountFrequency (%)
5134
100.0%
Other Punctuation
ValueCountFrequency (%)
, 352
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 23053
80.8%
Common 5486
 
19.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 4074
17.7%
t 3653
15.8%
o 2533
11.0%
h 1829
 
7.9%
a 1335
 
5.8%
r 1262
 
5.5%
f 1056
 
4.6%
i 983
 
4.3%
n 773
 
3.4%
d 704
 
3.1%
Other values (11) 4851
21.0%
Common
ValueCountFrequency (%)
5134
93.6%
, 352
 
6.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 28539
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5134
18.0%
e 4074
14.3%
t 3653
12.8%
o 2533
8.9%
h 1829
 
6.4%
a 1335
 
4.7%
r 1262
 
4.4%
f 1056
 
3.7%
i 983
 
3.4%
n 773
 
2.7%
Other values (13) 5907
20.7%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
2024-01-01T21:25:29.147995image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Length

Max length36
Median length21
Mean length27.35741445
Min length20

Characters and Unicode

Total characters28780
Distinct characters20
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowMusic or conversation
2nd rowPhysical activities or making things
3rd rowPhysical activities or making things
4th rowMuseums or galleries
5th rowMusic or conversation
ValueCountFrequency (%)
or 1052
25.9%
music 460
11.3%
conversation 460
11.3%
physical 455
11.2%
activities 455
11.2%
making 455
11.2%
things 455
11.2%
museums 137
 
3.4%
galleries 137
 
3.4%
2024-01-01T21:25:29.626992image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
i 3787
13.2%
3014
10.5%
s 2696
 
9.4%
o 1972
 
6.9%
a 1962
 
6.8%
c 1830
 
6.4%
n 1830
 
6.4%
t 1825
 
6.3%
r 1649
 
5.7%
e 1326
 
4.6%
Other values (10) 6889
23.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 24714
85.9%
Space Separator 3014
 
10.5%
Uppercase Letter 1052
 
3.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
i 3787
15.3%
s 2696
10.9%
o 1972
8.0%
a 1962
7.9%
c 1830
 
7.4%
n 1830
 
7.4%
t 1825
 
7.4%
r 1649
 
6.7%
e 1326
 
5.4%
g 1047
 
4.2%
Other values (7) 4790
19.4%
Uppercase Letter
ValueCountFrequency (%)
M 597
56.7%
P 455
43.3%
Space Separator
ValueCountFrequency (%)
3014
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 25766
89.5%
Common 3014
 
10.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
i 3787
14.7%
s 2696
10.5%
o 1972
 
7.7%
a 1962
 
7.6%
c 1830
 
7.1%
n 1830
 
7.1%
t 1825
 
7.1%
r 1649
 
6.4%
e 1326
 
5.1%
g 1047
 
4.1%
Other values (9) 5842
22.7%
Common
ValueCountFrequency (%)
3014
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 28780
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
i 3787
13.2%
3014
10.5%
s 2696
 
9.4%
o 1972
 
6.9%
a 1962
 
6.8%
c 1830
 
6.4%
n 1830
 
6.4%
t 1825
 
6.3%
r 1649
 
5.7%
e 1326
 
4.6%
Other values (10) 6889
23.9%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
2024-01-01T21:25:30.041934image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Length

Max length23
Median length15
Mean length17.80038023
Min length15

Characters and Unicode

Total characters18726
Distinct characters23
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowDiscuss with shop staff
2nd rowLook and decide
3rd rowLook and decide
4th rowLook and decide
5th rowLook and decide
ValueCountFrequency (%)
look 639
16.3%
and 639
16.3%
decide 639
16.3%
try 358
9.1%
on 358
9.1%
handle 358
9.1%
or 358
9.1%
test 358
9.1%
discuss 55
 
1.4%
with 55
 
1.4%
Other values (2) 110
 
2.8%
2024-01-01T21:25:30.719434image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2875
15.4%
d 2275
12.1%
o 2049
10.9%
e 1994
10.6%
n 1355
 
7.2%
a 1052
 
5.6%
t 826
 
4.4%
i 749
 
4.0%
r 716
 
3.8%
c 694
 
3.7%
Other values (13) 4141
22.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 14441
77.1%
Space Separator 2875
 
15.4%
Uppercase Letter 1052
 
5.6%
Other Punctuation 358
 
1.9%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
d 2275
15.8%
o 2049
14.2%
e 1994
13.8%
n 1355
9.4%
a 1052
7.3%
t 826
 
5.7%
i 749
 
5.2%
r 716
 
5.0%
c 694
 
4.8%
k 639
 
4.4%
Other values (8) 2092
14.5%
Uppercase Letter
ValueCountFrequency (%)
L 639
60.7%
T 358
34.0%
D 55
 
5.2%
Space Separator
ValueCountFrequency (%)
2875
100.0%
Other Punctuation
ValueCountFrequency (%)
, 358
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 15493
82.7%
Common 3233
 
17.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
d 2275
14.7%
o 2049
13.2%
e 1994
12.9%
n 1355
8.7%
a 1052
 
6.8%
t 826
 
5.3%
i 749
 
4.8%
r 716
 
4.6%
c 694
 
4.5%
L 639
 
4.1%
Other values (11) 3144
20.3%
Common
ValueCountFrequency (%)
2875
88.9%
, 358
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18726
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2875
15.4%
d 2275
12.1%
o 2049
10.9%
e 1994
10.6%
n 1355
 
7.2%
a 1052
 
5.6%
t 826
 
4.4%
i 749
 
4.0%
r 716
 
3.8%
c 694
 
3.7%
Other values (13) 4141
22.1%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
2024-01-01T21:25:31.078045image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Length

Max length25
Median length25
Mean length22.87547529
Min length18

Characters and Unicode

Total characters24065
Distinct characters21
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowRead the brochures
2nd rowListen to recommendations
3rd rowListen to recommendations
4th rowListen to recommendations
5th rowListen to recommendations
ValueCountFrequency (%)
listen 539
17.1%
to 539
17.1%
recommendations 539
17.1%
the 513
16.3%
imagine 339
10.7%
experience 339
10.7%
read 174
 
5.5%
brochures 174
 
5.5%
2024-01-01T21:25:31.621157image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 4173
17.3%
n 2295
9.5%
t 2130
8.9%
2104
8.7%
o 1791
 
7.4%
i 1756
 
7.3%
m 1417
 
5.9%
s 1252
 
5.2%
r 1226
 
5.1%
c 1052
 
4.4%
Other values (11) 4869
20.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 20909
86.9%
Space Separator 2104
 
8.7%
Uppercase Letter 1052
 
4.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 4173
20.0%
n 2295
11.0%
t 2130
10.2%
o 1791
8.6%
i 1756
8.4%
m 1417
 
6.8%
s 1252
 
6.0%
r 1226
 
5.9%
c 1052
 
5.0%
a 1052
 
5.0%
Other values (7) 2765
13.2%
Uppercase Letter
ValueCountFrequency (%)
L 539
51.2%
I 339
32.2%
R 174
 
16.5%
Space Separator
ValueCountFrequency (%)
2104
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 21961
91.3%
Common 2104
 
8.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 4173
19.0%
n 2295
10.5%
t 2130
9.7%
o 1791
8.2%
i 1756
8.0%
m 1417
 
6.5%
s 1252
 
5.7%
r 1226
 
5.6%
c 1052
 
4.8%
a 1052
 
4.8%
Other values (10) 3817
17.4%
Common
ValueCountFrequency (%)
2104
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 24065
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 4173
17.3%
n 2295
9.5%
t 2130
8.9%
2104
8.7%
o 1791
 
7.4%
i 1756
 
7.3%
m 1417
 
5.9%
s 1252
 
5.2%
r 1226
 
5.1%
c 1052
 
4.4%
Other values (11) 4869
20.2%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
2024-01-01T21:25:31.978545image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Length

Max length25
Median length16
Mean length19.56368821
Min length16

Characters and Unicode

Total characters20581
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowRead the reviews
2nd rowTest-drive what you fancy
3rd rowRead the reviews
4th rowDiscuss with friends
5th rowTest-drive what you fancy
ValueCountFrequency (%)
read 531
15.2%
the 531
15.2%
reviews 531
15.2%
test-drive 333
9.5%
what 333
9.5%
you 333
9.5%
fancy 333
9.5%
discuss 188
 
5.4%
with 188
 
5.4%
friends 188
 
5.4%
2024-01-01T21:25:32.527292image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 2978
14.5%
2437
11.8%
s 1616
 
7.9%
i 1428
 
6.9%
t 1385
 
6.7%
a 1197
 
5.8%
w 1052
 
5.1%
d 1052
 
5.1%
h 1052
 
5.1%
r 1052
 
5.1%
Other values (11) 5332
25.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 16759
81.4%
Space Separator 2437
 
11.8%
Uppercase Letter 1052
 
5.1%
Dash Punctuation 333
 
1.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 2978
17.8%
s 1616
9.6%
i 1428
8.5%
t 1385
8.3%
a 1197
 
7.1%
w 1052
 
6.3%
d 1052
 
6.3%
h 1052
 
6.3%
r 1052
 
6.3%
v 864
 
5.2%
Other values (6) 3083
18.4%
Uppercase Letter
ValueCountFrequency (%)
R 531
50.5%
T 333
31.7%
D 188
 
17.9%
Space Separator
ValueCountFrequency (%)
2437
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 333
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 17811
86.5%
Common 2770
 
13.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 2978
16.7%
s 1616
 
9.1%
i 1428
 
8.0%
t 1385
 
7.8%
a 1197
 
6.7%
w 1052
 
5.9%
d 1052
 
5.9%
h 1052
 
5.9%
r 1052
 
5.9%
v 864
 
4.9%
Other values (9) 4135
23.2%
Common
ValueCountFrequency (%)
2437
88.0%
- 333
 
12.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 20581
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 2978
14.5%
2437
11.8%
s 1616
 
7.9%
i 1428
 
6.9%
t 1385
 
6.7%
a 1197
 
5.8%
w 1052
 
5.1%
d 1052
 
5.1%
h 1052
 
5.1%
r 1052
 
5.1%
Other values (11) 5332
25.9%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
2024-01-01T21:25:32.922053image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Length

Max length65
Median length64
Mean length53.27851711
Min length33

Characters and Unicode

Total characters56049
Distinct characters24
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowI talk through with the teacher exactly what I am supposed to do
2nd rowI watch what the teacher is doing
3rd rowI like to give it a try and work it out as I go along by doing it
4th rowI talk through with the teacher exactly what I am supposed to do
5th rowI like to give it a try and work it out as I go along by doing it
ValueCountFrequency (%)
i 1724
 
12.4%
it 1503
 
10.8%
doing 881
 
6.3%
to 672
 
4.8%
teacher 551
 
4.0%
the 551
 
4.0%
what 551
 
4.0%
go 501
 
3.6%
like 501
 
3.6%
along 501
 
3.6%
Other values (17) 5965
42.9%
2024-01-01T21:25:33.491542image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
12849
22.9%
t 5894
10.5%
o 4070
 
7.3%
a 3999
 
7.1%
i 3937
 
7.0%
e 2997
 
5.3%
g 2555
 
4.6%
h 2546
 
4.5%
n 1883
 
3.4%
I 1724
 
3.1%
Other values (14) 13595
24.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 41476
74.0%
Space Separator 12849
 
22.9%
Uppercase Letter 1724
 
3.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 5894
14.2%
o 4070
9.8%
a 3999
 
9.6%
i 3937
 
9.5%
e 2997
 
7.2%
g 2555
 
6.2%
h 2546
 
6.1%
n 1883
 
4.5%
r 1724
 
4.2%
d 1724
 
4.2%
Other values (12) 10147
24.5%
Space Separator
ValueCountFrequency (%)
12849
100.0%
Uppercase Letter
ValueCountFrequency (%)
I 1724
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 43200
77.1%
Common 12849
 
22.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 5894
13.6%
o 4070
 
9.4%
a 3999
 
9.3%
i 3937
 
9.1%
e 2997
 
6.9%
g 2555
 
5.9%
h 2546
 
5.9%
n 1883
 
4.4%
I 1724
 
4.0%
r 1724
 
4.0%
Other values (13) 11871
27.5%
Common
ValueCountFrequency (%)
12849
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 56049
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
12849
22.9%
t 5894
10.5%
o 4070
 
7.3%
a 3999
 
7.1%
i 3937
 
7.0%
e 2997
 
5.3%
g 2555
 
4.6%
h 2546
 
4.5%
n 1883
 
3.4%
I 1724
 
3.1%
Other values (14) 13595
24.3%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
2024-01-01T21:25:33.896042image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Length

Max length40
Median length38
Mean length38.61121673
Min length37

Characters and Unicode

Total characters40619
Distinct characters21
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowI imagine what the food will look like
2nd rowI imagine what the food will look like
3rd rowI imagine what the food will look like
4th rowI imagine what the food will taste like
5th rowI imagine what the food will taste like
ValueCountFrequency (%)
i 1052
12.5%
the 1052
12.5%
imagine 673
8.0%
what 673
8.0%
food 673
8.0%
will 673
8.0%
like 673
8.0%
taste 511
 
6.1%
talk 379
 
4.5%
through 379
 
4.5%
Other values (5) 1678
19.9%
2024-01-01T21:25:34.525421image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7875
19.4%
t 3884
9.6%
i 3450
8.5%
e 3288
 
8.1%
h 2862
 
7.0%
o 2807
 
6.9%
a 2615
 
6.4%
l 2560
 
6.3%
n 1431
 
3.5%
w 1346
 
3.3%
Other values (11) 8501
20.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 31692
78.0%
Space Separator 7875
 
19.4%
Uppercase Letter 1052
 
2.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 3884
12.3%
i 3450
10.9%
e 3288
10.4%
h 2862
9.0%
o 2807
8.9%
a 2615
8.3%
l 2560
8.1%
n 1431
 
4.5%
w 1346
 
4.2%
k 1214
 
3.8%
Other values (9) 6235
19.7%
Space Separator
ValueCountFrequency (%)
7875
100.0%
Uppercase Letter
ValueCountFrequency (%)
I 1052
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 32744
80.6%
Common 7875
 
19.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 3884
11.9%
i 3450
10.5%
e 3288
10.0%
h 2862
 
8.7%
o 2807
 
8.6%
a 2615
 
8.0%
l 2560
 
7.8%
n 1431
 
4.4%
w 1346
 
4.1%
k 1214
 
3.7%
Other values (10) 7287
22.3%
Common
ValueCountFrequency (%)
7875
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 40619
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7875
19.4%
t 3884
9.6%
i 3450
8.5%
e 3288
 
8.1%
h 2862
 
7.0%
o 2807
 
6.9%
a 2615
 
6.4%
l 2560
 
6.3%
n 1431
 
3.5%
w 1346
 
3.3%
Other values (11) 8501
20.9%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
2024-01-01T21:25:34.928075image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Length

Max length51
Median length36
Mean length42.38022814
Min length29

Characters and Unicode

Total characters44584
Distinct characters23
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowI sing along to the lyrics (in my head or out loud)
2nd rowI listen to the lyrics and the beats
3rd rowI sing along to the lyrics (in my head or out loud)
4th rowI listen to the lyrics and the beats
5th rowI sing along to the lyrics (in my head or out loud)
ValueCountFrequency (%)
the 1416
13.7%
i 1052
 
10.2%
to 888
 
8.6%
lyrics 888
 
8.6%
in 688
 
6.6%
sing 524
 
5.1%
loud 524
 
5.1%
out 524
 
5.1%
or 524
 
5.1%
head 524
 
5.1%
Other values (9) 2796
27.0%
2024-01-01T21:25:35.489715image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9296
20.9%
t 3884
 
8.7%
o 3148
 
7.1%
e 2996
 
6.7%
i 2956
 
6.6%
n 2464
 
5.5%
s 2304
 
5.2%
l 2300
 
5.2%
h 2104
 
4.7%
a 1776
 
4.0%
Other values (13) 11356
25.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 33188
74.4%
Space Separator 9296
 
20.9%
Uppercase Letter 1052
 
2.4%
Open Punctuation 524
 
1.2%
Close Punctuation 524
 
1.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 3884
11.7%
o 3148
9.5%
e 2996
 
9.0%
i 2956
 
8.9%
n 2464
 
7.4%
s 2304
 
6.9%
l 2300
 
6.9%
h 2104
 
6.3%
a 1776
 
5.4%
d 1412
 
4.3%
Other values (9) 7844
23.6%
Space Separator
ValueCountFrequency (%)
9296
100.0%
Uppercase Letter
ValueCountFrequency (%)
I 1052
100.0%
Open Punctuation
ValueCountFrequency (%)
( 524
100.0%
Close Punctuation
ValueCountFrequency (%)
) 524
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 34240
76.8%
Common 10344
 
23.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 3884
11.3%
o 3148
 
9.2%
e 2996
 
8.8%
i 2956
 
8.6%
n 2464
 
7.2%
s 2304
 
6.7%
l 2300
 
6.7%
h 2104
 
6.1%
a 1776
 
5.2%
d 1412
 
4.1%
Other values (10) 8896
26.0%
Common
ValueCountFrequency (%)
9296
89.9%
( 524
 
5.1%
) 524
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 44584
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9296
20.9%
t 3884
 
8.7%
o 3148
 
7.1%
e 2996
 
6.7%
i 2956
 
6.6%
n 2464
 
5.5%
s 2304
 
5.2%
l 2300
 
5.2%
h 2104
 
4.7%
a 1776
 
4.0%
Other values (13) 11356
25.5%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
2024-01-01T21:25:35.973793image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Length

Max length74
Median length53
Mean length52.83365019
Min length45

Characters and Unicode

Total characters55581
Distinct characters26
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowFocus on the words or pictures in front of me
2nd rowFocus on the words or pictures in front of me
3rd rowDiscuss the problem and possible solutions in my head
4th rowFocus on the words or pictures in front of me
5th rowDiscuss the problem and possible solutions in my head
ValueCountFrequency (%)
the 863
 
8.0%
in 863
 
8.0%
and 723
 
6.7%
focus 518
 
4.8%
on 518
 
4.8%
words 518
 
4.8%
or 518
 
4.8%
pictures 518
 
4.8%
front 518
 
4.8%
of 518
 
4.8%
Other values (18) 4667
43.4%
2024-01-01T21:25:36.684906image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9690
17.4%
o 5244
 
9.4%
s 4536
 
8.2%
e 4068
 
7.3%
n 3912
 
7.0%
t 3189
 
5.7%
i 3172
 
5.7%
r 2795
 
5.0%
d 2342
 
4.2%
u 2293
 
4.1%
Other values (16) 14340
25.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 44650
80.3%
Space Separator 9690
 
17.4%
Uppercase Letter 1052
 
1.9%
Other Punctuation 189
 
0.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 5244
11.7%
s 4536
10.2%
e 4068
 
9.1%
n 3912
 
8.8%
t 3189
 
7.1%
i 3172
 
7.1%
r 2795
 
6.3%
d 2342
 
5.2%
u 2293
 
5.1%
l 1791
 
4.0%
Other values (11) 11308
25.3%
Uppercase Letter
ValueCountFrequency (%)
F 518
49.2%
D 345
32.8%
M 189
 
18.0%
Space Separator
ValueCountFrequency (%)
9690
100.0%
Other Punctuation
ValueCountFrequency (%)
, 189
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 45702
82.2%
Common 9879
 
17.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 5244
11.5%
s 4536
 
9.9%
e 4068
 
8.9%
n 3912
 
8.6%
t 3189
 
7.0%
i 3172
 
6.9%
r 2795
 
6.1%
d 2342
 
5.1%
u 2293
 
5.0%
l 1791
 
3.9%
Other values (14) 12360
27.0%
Common
ValueCountFrequency (%)
9690
98.1%
, 189
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 55581
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9690
17.4%
o 5244
 
9.4%
s 4536
 
8.2%
e 4068
 
7.3%
n 3912
 
7.0%
t 3189
 
5.7%
i 3172
 
5.7%
r 2795
 
5.0%
d 2342
 
4.2%
u 2293
 
4.1%
Other values (16) 14340
25.8%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
2024-01-01T21:25:37.073207image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Length

Max length62
Median length60
Mean length52.36882129
Min length40

Characters and Unicode

Total characters55092
Distinct characters25
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowSaying them aloud or repeating words and key points in my head
2nd rowWriting notes or keeping printed details
3rd rowWriting notes or keeping printed details
4th rowWriting notes or keeping printed details
5th rowWriting notes or keeping printed details
ValueCountFrequency (%)
or 1052
 
11.2%
and 623
 
6.7%
writing 429
 
4.6%
keeping 429
 
4.6%
printed 429
 
4.6%
details 429
 
4.6%
notes 429
 
4.6%
imagining 347
 
3.7%
done 347
 
3.7%
being 347
 
3.7%
Other values (15) 4495
48.0%
2024-01-01T21:25:37.692124image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8304
15.1%
i 6719
12.2%
n 5525
10.0%
e 4566
8.3%
t 4279
 
7.8%
a 3197
 
5.8%
g 3145
 
5.7%
o 3003
 
5.5%
r 2809
 
5.1%
d 2656
 
4.8%
Other values (15) 10889
19.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 45736
83.0%
Space Separator 8304
 
15.1%
Uppercase Letter 1052
 
1.9%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
i 6719
14.7%
n 5525
12.1%
e 4566
10.0%
t 4279
9.4%
a 3197
 
7.0%
g 3145
 
6.9%
o 3003
 
6.6%
r 2809
 
6.1%
d 2656
 
5.8%
p 1757
 
3.8%
Other values (11) 8080
17.7%
Uppercase Letter
ValueCountFrequency (%)
W 429
40.8%
D 347
33.0%
S 276
26.2%
Space Separator
ValueCountFrequency (%)
8304
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 46788
84.9%
Common 8304
 
15.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
i 6719
14.4%
n 5525
11.8%
e 4566
9.8%
t 4279
9.1%
a 3197
 
6.8%
g 3145
 
6.7%
o 3003
 
6.4%
r 2809
 
6.0%
d 2656
 
5.7%
p 1757
 
3.8%
Other values (14) 9132
19.5%
Common
ValueCountFrequency (%)
8304
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 55092
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8304
15.1%
i 6719
12.2%
n 5525
10.0%
e 4566
8.3%
t 4279
 
7.8%
a 3197
 
5.8%
g 3145
 
5.7%
o 3003
 
5.5%
r 2809
 
5.1%
d 2656
 
4.8%
Other values (15) 10889
19.8%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
2024-01-01T21:25:38.035662image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Length

Max length20
Median length15
Mean length17.2338403
Min length15

Characters and Unicode

Total characters18130
Distinct characters16
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowLooking at something
2nd rowLooking at something
3rd rowDoing something
4th rowBeing spoken to
5th rowDoing something
ValueCountFrequency (%)
something 932
34.6%
looking 470
17.4%
at 470
17.4%
doing 462
17.1%
being 120
 
4.5%
spoken 120
 
4.5%
to 120
 
4.5%
2024-01-01T21:25:38.536119image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
o 2574
14.2%
n 2104
11.6%
i 1984
10.9%
g 1984
10.9%
1642
9.1%
t 1522
8.4%
e 1172
6.5%
s 1052
5.8%
m 932
 
5.1%
h 932
 
5.1%
Other values (6) 2232
12.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 15436
85.1%
Space Separator 1642
 
9.1%
Uppercase Letter 1052
 
5.8%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 2574
16.7%
n 2104
13.6%
i 1984
12.9%
g 1984
12.9%
t 1522
9.9%
e 1172
7.6%
s 1052
6.8%
m 932
 
6.0%
h 932
 
6.0%
k 590
 
3.8%
Other values (2) 590
 
3.8%
Uppercase Letter
ValueCountFrequency (%)
L 470
44.7%
D 462
43.9%
B 120
 
11.4%
Space Separator
ValueCountFrequency (%)
1642
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 16488
90.9%
Common 1642
 
9.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 2574
15.6%
n 2104
12.8%
i 1984
12.0%
g 1984
12.0%
t 1522
9.2%
e 1172
7.1%
s 1052
6.4%
m 932
 
5.7%
h 932
 
5.7%
k 590
 
3.6%
Other values (5) 1642
10.0%
Common
ValueCountFrequency (%)
1642
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18130
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
o 2574
14.2%
n 2104
11.6%
i 1984
10.9%
g 1984
10.9%
1642
9.1%
t 1522
8.4%
e 1172
6.5%
s 1052
5.8%
m 932
 
5.1%
h 932
 
5.1%
Other values (6) 2232
12.3%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
2024-01-01T21:25:39.040969image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Length

Max length50
Median length41
Mean length40.64828897
Min length34

Characters and Unicode

Total characters42762
Distinct characters26
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowVisualize the worst case scenarios
2nd rowVisualize the worst case scenarios
3rd rowVisualize the worst case scenarios
4th rowTalk over in my head what worries me most
5th rowTalk over in my head what worries me most
ValueCountFrequency (%)
talk 478
 
6.1%
over 478
 
6.1%
in 478
 
6.1%
my 478
 
6.1%
head 478
 
6.1%
what 478
 
6.1%
worries 478
 
6.1%
me 478
 
6.1%
most 478
 
6.1%
scenarios 346
 
4.4%
Other values (12) 3208
40.8%
2024-01-01T21:25:39.685840image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6804
15.9%
e 3752
 
8.8%
a 3384
 
7.9%
s 3370
 
7.9%
o 2810
 
6.6%
t 2788
 
6.5%
i 2678
 
6.3%
r 2354
 
5.5%
n 1964
 
4.6%
l 1736
 
4.1%
Other values (16) 11122
26.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 34450
80.6%
Space Separator 6804
 
15.9%
Uppercase Letter 1052
 
2.5%
Other Punctuation 456
 
1.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 3752
10.9%
a 3384
9.8%
s 3370
9.8%
o 2810
 
8.2%
t 2788
 
8.1%
i 2678
 
7.8%
r 2354
 
6.8%
n 1964
 
5.7%
l 1736
 
5.0%
m 1662
 
4.8%
Other values (10) 7952
23.1%
Uppercase Letter
ValueCountFrequency (%)
T 478
45.4%
V 346
32.9%
C 228
21.7%
Other Punctuation
ValueCountFrequency (%)
' 228
50.0%
, 228
50.0%
Space Separator
ValueCountFrequency (%)
6804
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 35502
83.0%
Common 7260
 
17.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 3752
10.6%
a 3384
 
9.5%
s 3370
 
9.5%
o 2810
 
7.9%
t 2788
 
7.9%
i 2678
 
7.5%
r 2354
 
6.6%
n 1964
 
5.5%
l 1736
 
4.9%
m 1662
 
4.7%
Other values (13) 9004
25.4%
Common
ValueCountFrequency (%)
6804
93.7%
' 228
 
3.1%
, 228
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 42762
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6804
15.9%
e 3752
 
8.8%
a 3384
 
7.9%
s 3370
 
7.9%
o 2810
 
6.6%
t 2788
 
6.5%
i 2678
 
6.3%
r 2354
 
5.5%
n 1964
 
4.6%
l 1736
 
4.1%
Other values (16) 11122
26.0%
Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
2024-01-01T21:25:40.024268image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Length

Max length19
Median length16
Mean length16.93821293
Min length13

Characters and Unicode

Total characters17819
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowWhat they say to me
2nd rowHow they look
3rd rowHoe they make me
4th rowWhat they say to me
5th rowWhat they say to me
ValueCountFrequency (%)
they 1052
23.2%
me 944
20.8%
how 605
13.3%
make 507
11.2%
what 437
9.6%
say 437
9.6%
to 437
9.6%
look 108
 
2.4%
hoe 10
 
0.2%
2024-01-01T21:25:40.550716image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3485
19.6%
e 2513
14.1%
t 1926
10.8%
h 1489
8.4%
y 1489
8.4%
m 1451
8.1%
a 1381
 
7.8%
o 1268
 
7.1%
H 615
 
3.5%
k 615
 
3.5%
Other values (4) 1587
8.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 13282
74.5%
Space Separator 3485
 
19.6%
Uppercase Letter 1052
 
5.9%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 2513
18.9%
t 1926
14.5%
h 1489
11.2%
y 1489
11.2%
m 1451
10.9%
a 1381
10.4%
o 1268
9.5%
k 615
 
4.6%
w 605
 
4.6%
s 437
 
3.3%
Uppercase Letter
ValueCountFrequency (%)
H 615
58.5%
W 437
41.5%
Space Separator
ValueCountFrequency (%)
3485
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 14334
80.4%
Common 3485
 
19.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 2513
17.5%
t 1926
13.4%
h 1489
10.4%
y 1489
10.4%
m 1451
10.1%
a 1381
9.6%
o 1268
8.8%
H 615
 
4.3%
k 615
 
4.3%
w 605
 
4.2%
Other values (3) 982
 
6.9%
Common
ValueCountFrequency (%)
3485
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 17819
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3485
19.6%
e 2513
14.1%
t 1926
10.8%
h 1489
8.4%
y 1489
8.4%
m 1451
8.1%
a 1381
 
7.8%
o 1268
 
7.1%
H 615
 
3.5%
k 615
 
3.5%
Other values (4) 1587
8.9%
Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
2024-01-01T21:25:40.993449image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Length

Max length52
Median length51
Mean length42.26330798
Min length28

Characters and Unicode

Total characters44461
Distinct characters26
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowWrite lots of revision notes (using lots of colors!)
2nd rowI talk over my notes, to myself or to other people
3rd rowI talk over my notes, to myself or to other people
4th rowWrite lots of revision notes (using lots of colors!)
5th rowWrite lots of revision notes (using lots of colors!)
ValueCountFrequency (%)
to 974
 
11.1%
notes 879
 
10.0%
or 660
 
7.5%
i 487
 
5.6%
talk 487
 
5.6%
over 487
 
5.6%
my 487
 
5.6%
myself 487
 
5.6%
other 487
 
5.6%
people 487
 
5.6%
Other values (12) 2831
32.3%
2024-01-01T21:25:41.698823image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7701
17.3%
o 5548
12.5%
e 5136
11.6%
t 4316
9.7%
r 2777
 
6.2%
s 2189
 
4.9%
l 2052
 
4.6%
n 1976
 
4.4%
m 1839
 
4.1%
i 1708
 
3.8%
Other values (16) 9219
20.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 35182
79.1%
Space Separator 7701
 
17.3%
Uppercase Letter 1052
 
2.4%
Other Punctuation 500
 
1.1%
Open Punctuation 13
 
< 0.1%
Close Punctuation 13
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 5548
15.8%
e 5136
14.6%
t 4316
12.3%
r 2777
7.9%
s 2189
 
6.2%
l 2052
 
5.8%
n 1976
 
5.6%
m 1839
 
5.2%
i 1708
 
4.9%
a 1179
 
3.4%
Other values (9) 6462
18.4%
Uppercase Letter
ValueCountFrequency (%)
I 660
62.7%
W 392
37.3%
Other Punctuation
ValueCountFrequency (%)
, 487
97.4%
! 13
 
2.6%
Space Separator
ValueCountFrequency (%)
7701
100.0%
Open Punctuation
ValueCountFrequency (%)
( 13
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 36234
81.5%
Common 8227
 
18.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 5548
15.3%
e 5136
14.2%
t 4316
11.9%
r 2777
 
7.7%
s 2189
 
6.0%
l 2052
 
5.7%
n 1976
 
5.5%
m 1839
 
5.1%
i 1708
 
4.7%
a 1179
 
3.3%
Other values (11) 7514
20.7%
Common
ValueCountFrequency (%)
7701
93.6%
, 487
 
5.9%
( 13
 
0.2%
! 13
 
0.2%
) 13
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 44461
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7701
17.3%
o 5548
12.5%
e 5136
11.6%
t 4316
9.7%
r 2777
 
6.2%
s 2189
 
4.9%
l 2052
 
4.6%
n 1976
 
4.4%
m 1839
 
4.1%
i 1708
 
3.8%
Other values (16) 9219
20.7%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
2024-01-01T21:25:42.112754image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Length

Max length64
Median length55
Mean length46.30418251
Min length21

Characters and Unicode

Total characters48712
Distinct characters25
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowEncourage them to try and talk them through the idea as they try
2nd rowEncourage them to try and talk them through the idea as they try
3rd rowExplain to them in different ways until they understand
4th rowEncourage them to try and talk them through the idea as they try
5th rowExplain to them in different ways until they understand
ValueCountFrequency (%)
them 1218
13.7%
they 739
 
8.3%
to 739
 
8.3%
explain 573
 
6.5%
in 573
 
6.5%
different 573
 
6.5%
ways 573
 
6.5%
until 573
 
6.5%
understand 573
 
6.5%
try 332
 
3.7%
Other values (11) 2414
27.2%
2024-01-01T21:25:42.720139image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7828
16.1%
t 5558
11.4%
e 4487
 
9.2%
n 4083
 
8.4%
a 3175
 
6.5%
h 3081
 
6.3%
i 2458
 
5.0%
d 2051
 
4.2%
r 1810
 
3.7%
y 1644
 
3.4%
Other values (15) 12537
25.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 39519
81.1%
Space Separator 7828
 
16.1%
Uppercase Letter 1365
 
2.8%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 5558
14.1%
e 4487
11.4%
n 4083
10.3%
a 3175
 
8.0%
h 3081
 
7.8%
i 2458
 
6.2%
d 2051
 
5.2%
r 1810
 
4.6%
y 1644
 
4.2%
m 1531
 
3.9%
Other values (11) 9641
24.4%
Uppercase Letter
ValueCountFrequency (%)
E 739
54.1%
S 313
22.9%
I 313
22.9%
Space Separator
ValueCountFrequency (%)
7828
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 40884
83.9%
Common 7828
 
16.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 5558
13.6%
e 4487
11.0%
n 4083
 
10.0%
a 3175
 
7.8%
h 3081
 
7.5%
i 2458
 
6.0%
d 2051
 
5.0%
r 1810
 
4.4%
y 1644
 
4.0%
m 1531
 
3.7%
Other values (14) 11006
26.9%
Common
ValueCountFrequency (%)
7828
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 48712
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7828
16.1%
t 5558
11.4%
e 4487
 
9.2%
n 4083
 
8.4%
a 3175
 
6.5%
h 3081
 
6.3%
i 2458
 
5.0%
d 2051
 
4.2%
r 1810
 
3.7%
y 1644
 
3.4%
Other values (15) 12537
25.7%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
2024-01-01T21:25:43.085991image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Length

Max length66
Median length63
Mean length59.94296578
Min length48

Characters and Unicode

Total characters63060
Distinct characters26
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowListening to music or listening to the radio or talking to friends
2nd rowPhotography or watching films or people watching
3rd rowPhysical/sports activities or fine wines, fine foods or dancing
4th rowListening to music or listening to the radio or talking to friends
5th rowListening to music or listening to the radio or talking to friends
ValueCountFrequency (%)
or 2104
20.5%
to 1419
13.8%
listening 946
9.2%
watching 618
 
6.0%
fine 540
 
5.3%
the 473
 
4.6%
radio 473
 
4.6%
talking 473
 
4.6%
friends 473
 
4.6%
music 473
 
4.6%
Other values (8) 2277
22.2%
2024-01-01T21:25:43.642675image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9217
14.6%
i 6871
10.9%
o 5733
 
9.1%
t 5048
 
8.0%
n 4806
 
7.6%
s 3821
 
6.1%
r 3629
 
5.8%
e 3590
 
5.7%
a 2683
 
4.3%
g 2616
 
4.1%
Other values (16) 15046
23.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 52251
82.9%
Space Separator 9217
 
14.6%
Uppercase Letter 1052
 
1.7%
Other Punctuation 540
 
0.9%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
i 6871
13.1%
o 5733
11.0%
t 5048
9.7%
n 4806
9.2%
s 3821
 
7.3%
r 3629
 
6.9%
e 3590
 
6.9%
a 2683
 
5.1%
g 2616
 
5.0%
h 1979
 
3.8%
Other values (11) 11475
22.0%
Uppercase Letter
ValueCountFrequency (%)
P 579
55.0%
L 473
45.0%
Other Punctuation
ValueCountFrequency (%)
/ 270
50.0%
, 270
50.0%
Space Separator
ValueCountFrequency (%)
9217
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 53303
84.5%
Common 9757
 
15.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
i 6871
12.9%
o 5733
10.8%
t 5048
9.5%
n 4806
 
9.0%
s 3821
 
7.2%
r 3629
 
6.8%
e 3590
 
6.7%
a 2683
 
5.0%
g 2616
 
4.9%
h 1979
 
3.7%
Other values (13) 12527
23.5%
Common
ValueCountFrequency (%)
9217
94.5%
/ 270
 
2.8%
, 270
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 63060
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9217
14.6%
i 6871
10.9%
o 5733
 
9.1%
t 5048
 
8.0%
n 4806
 
7.6%
s 3821
 
6.1%
r 3629
 
5.8%
e 3590
 
5.7%
a 2683
 
4.3%
g 2616
 
4.1%
Other values (16) 15046
23.9%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
2024-01-01T21:25:44.014105image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Length

Max length40
Median length19
Mean length25.85741445
Min length18

Characters and Unicode

Total characters27202
Distinct characters23
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowTalking to friends
2nd rowWatching television
3rd rowDoing physical activity or making things
4th rowWatching television
5th rowDoing physical activity or making things
ValueCountFrequency (%)
watching 500
13.5%
television 500
13.5%
doing 353
9.5%
physical 353
9.5%
activity 353
9.5%
or 353
9.5%
making 353
9.5%
things 353
9.5%
talking 199
 
5.4%
to 199
 
5.4%
2024-01-01T21:25:44.589309image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
i 4016
14.8%
2663
 
9.8%
n 2457
 
9.0%
t 2258
 
8.3%
g 1758
 
6.5%
a 1758
 
6.5%
s 1405
 
5.2%
o 1405
 
5.2%
c 1206
 
4.4%
h 1206
 
4.4%
Other values (13) 7070
26.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 23487
86.3%
Space Separator 2663
 
9.8%
Uppercase Letter 1052
 
3.9%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
i 4016
17.1%
n 2457
10.5%
t 2258
9.6%
g 1758
 
7.5%
a 1758
 
7.5%
s 1405
 
6.0%
o 1405
 
6.0%
c 1206
 
5.1%
h 1206
 
5.1%
e 1199
 
5.1%
Other values (9) 4819
20.5%
Uppercase Letter
ValueCountFrequency (%)
W 500
47.5%
D 353
33.6%
T 199
 
18.9%
Space Separator
ValueCountFrequency (%)
2663
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 24539
90.2%
Common 2663
 
9.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
i 4016
16.4%
n 2457
10.0%
t 2258
 
9.2%
g 1758
 
7.2%
a 1758
 
7.2%
s 1405
 
5.7%
o 1405
 
5.7%
c 1206
 
4.9%
h 1206
 
4.9%
e 1199
 
4.9%
Other values (12) 5871
23.9%
Common
ValueCountFrequency (%)
2663
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 27202
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
i 4016
14.8%
2663
 
9.8%
n 2457
 
9.0%
t 2258
 
8.3%
g 1758
 
6.5%
a 1758
 
6.5%
s 1405
 
5.2%
o 1405
 
5.2%
c 1206
 
4.4%
h 1206
 
4.4%
Other values (13) 7070
26.0%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
2024-01-01T21:25:44.949234image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Length

Max length42
Median length32
Mean length35.15209125
Min length31

Characters and Unicode

Total characters36980
Distinct characters20
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowI arrange a face to face meeting
2nd rowI talk to them on the telephone
3rd rowI arrange a face to face meeting
4th rowI arrange a face to face meeting
5th rowI talk to them on the telephone
ValueCountFrequency (%)
to 1428
17.6%
i 1052
13.0%
face 464
 
5.7%
them 444
 
5.5%
on 444
 
5.5%
the 444
 
5.5%
telephone 444
 
5.5%
talk 444
 
5.5%
an 376
 
4.6%
activity 376
 
4.6%
Other values (7) 2200
27.1%
2024-01-01T21:25:45.487278image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7064
19.1%
t 5692
15.4%
e 4884
13.2%
a 2732
 
7.4%
o 2692
 
7.3%
h 2084
 
5.6%
n 1728
 
4.7%
r 1592
 
4.3%
g 1216
 
3.3%
I 1052
 
2.8%
Other values (10) 6244
16.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 28864
78.1%
Space Separator 7064
 
19.1%
Uppercase Letter 1052
 
2.8%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 5692
19.7%
e 4884
16.9%
a 2732
9.5%
o 2692
9.3%
h 2084
 
7.2%
n 1728
 
6.0%
r 1592
 
5.5%
g 1216
 
4.2%
i 984
 
3.4%
l 888
 
3.1%
Other values (8) 4372
15.1%
Space Separator
ValueCountFrequency (%)
7064
100.0%
Uppercase Letter
ValueCountFrequency (%)
I 1052
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 29916
80.9%
Common 7064
 
19.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 5692
19.0%
e 4884
16.3%
a 2732
9.1%
o 2692
9.0%
h 2084
 
7.0%
n 1728
 
5.8%
r 1592
 
5.3%
g 1216
 
4.1%
I 1052
 
3.5%
i 984
 
3.3%
Other values (9) 5260
17.6%
Common
ValueCountFrequency (%)
7064
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 36980
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7064
19.1%
t 5692
15.4%
e 4884
13.2%
a 2732
 
7.4%
o 2692
 
7.3%
h 2084
 
5.6%
n 1728
 
4.7%
r 1592
 
4.3%
g 1216
 
3.3%
I 1052
 
2.8%
Other values (10) 6244
16.9%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
2024-01-01T21:25:45.792391image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Length

Max length15
Median length14
Mean length14.43060837
Min length14

Characters and Unicode

Total characters15181
Distinct characters16
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowLook and dress
2nd rowStand and move
3rd rowSound and speak
4th rowLook and dress
5th rowSound and speak
ValueCountFrequency (%)
and 1052
33.3%
look 504
16.0%
dress 504
16.0%
sound 453
14.4%
speak 453
14.4%
stand 95
 
3.0%
move 95
 
3.0%
2024-01-01T21:25:46.273972image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2104
13.9%
d 2104
13.9%
a 1600
10.5%
n 1600
10.5%
o 1556
10.2%
s 1461
9.6%
e 1052
6.9%
k 957
6.3%
S 548
 
3.6%
L 504
 
3.3%
Other values (6) 1695
11.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 12025
79.2%
Space Separator 2104
 
13.9%
Uppercase Letter 1052
 
6.9%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
d 2104
17.5%
a 1600
13.3%
n 1600
13.3%
o 1556
12.9%
s 1461
12.1%
e 1052
8.7%
k 957
8.0%
r 504
 
4.2%
u 453
 
3.8%
p 453
 
3.8%
Other values (3) 285
 
2.4%
Uppercase Letter
ValueCountFrequency (%)
S 548
52.1%
L 504
47.9%
Space Separator
ValueCountFrequency (%)
2104
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 13077
86.1%
Common 2104
 
13.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
d 2104
16.1%
a 1600
12.2%
n 1600
12.2%
o 1556
11.9%
s 1461
11.2%
e 1052
8.0%
k 957
7.3%
S 548
 
4.2%
L 504
 
3.9%
r 504
 
3.9%
Other values (5) 1191
9.1%
Common
ValueCountFrequency (%)
2104
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 15181
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2104
13.9%
d 2104
13.9%
a 1600
10.5%
n 1600
10.5%
o 1556
10.2%
s 1461
9.6%
e 1052
6.9%
k 957
6.3%
S 548
 
3.6%
L 504
 
3.3%
Other values (6) 1695
11.2%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
2024-01-01T21:25:46.711648image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Length

Max length56
Median length56
Mean length51.92585551
Min length39

Characters and Unicode

Total characters54626
Distinct characters23
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowI keep replaying in my mind what it is that has upset me
2nd rowI stomp about, slam doors and throw things
3rd rowI keep replaying in my mind what it is that has upset me
4th rowI keep replaying in my mind what it is that has upset me
5th rowI keep replaying in my mind what it is that has upset me
ValueCountFrequency (%)
i 1202
 
9.6%
it 778
 
6.2%
keep 778
 
6.2%
me 778
 
6.2%
upset 778
 
6.2%
has 778
 
6.2%
that 778
 
6.2%
is 778
 
6.2%
what 778
 
6.2%
mind 778
 
6.2%
Other values (16) 4252
34.1%
2024-01-01T21:25:47.358458image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
11404
20.9%
t 4836
8.9%
e 4640
 
8.5%
i 4014
 
7.3%
a 3634
 
6.7%
s 3130
 
5.7%
h 2882
 
5.3%
p 2758
 
5.0%
n 2732
 
5.0%
m 2582
 
4.7%
Other values (13) 12014
22.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 41896
76.7%
Space Separator 11404
 
20.9%
Uppercase Letter 1202
 
2.2%
Other Punctuation 124
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 4836
11.5%
e 4640
11.1%
i 4014
9.6%
a 3634
8.7%
s 3130
 
7.5%
h 2882
 
6.9%
p 2758
 
6.6%
n 2732
 
6.5%
m 2582
 
6.2%
l 1652
 
3.9%
Other values (10) 9036
21.6%
Space Separator
ValueCountFrequency (%)
11404
100.0%
Uppercase Letter
ValueCountFrequency (%)
I 1202
100.0%
Other Punctuation
ValueCountFrequency (%)
, 124
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 43098
78.9%
Common 11528
 
21.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 4836
11.2%
e 4640
10.8%
i 4014
 
9.3%
a 3634
 
8.4%
s 3130
 
7.3%
h 2882
 
6.7%
p 2758
 
6.4%
n 2732
 
6.3%
m 2582
 
6.0%
l 1652
 
3.8%
Other values (11) 10238
23.8%
Common
ValueCountFrequency (%)
11404
98.9%
, 124
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 54626
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
11404
20.9%
t 4836
8.9%
e 4640
 
8.5%
i 4014
 
7.3%
a 3634
 
6.7%
s 3130
 
5.7%
h 2882
 
5.3%
p 2758
 
5.0%
n 2732
 
5.0%
m 2582
 
4.7%
Other values (13) 12014
22.0%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
2024-01-01T21:25:47.702371image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Length

Max length18
Median length5
Mean length9.967680608
Min length5

Characters and Unicode

Total characters10486
Distinct characters17
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowThings I have done
2nd rowFaces
3rd rowThings I have done
4th rowThings I have done
5th rowThings I have done
ValueCountFrequency (%)
faces 563
24.9%
things 402
17.8%
i 402
17.8%
have 402
17.8%
done 402
17.8%
names 87
 
3.9%
2024-01-01T21:25:48.266344image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 1454
13.9%
1206
11.5%
s 1052
10.0%
a 1052
10.0%
n 804
 
7.7%
h 804
 
7.7%
F 563
 
5.4%
c 563
 
5.4%
i 402
 
3.8%
T 402
 
3.8%
Other values (7) 2184
20.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 7826
74.6%
Uppercase Letter 1454
 
13.9%
Space Separator 1206
 
11.5%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 1454
18.6%
s 1052
13.4%
a 1052
13.4%
n 804
10.3%
h 804
10.3%
c 563
 
7.2%
i 402
 
5.1%
g 402
 
5.1%
v 402
 
5.1%
d 402
 
5.1%
Other values (2) 489
 
6.2%
Uppercase Letter
ValueCountFrequency (%)
F 563
38.7%
T 402
27.6%
I 402
27.6%
N 87
 
6.0%
Space Separator
ValueCountFrequency (%)
1206
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 9280
88.5%
Common 1206
 
11.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 1454
15.7%
s 1052
11.3%
a 1052
11.3%
n 804
8.7%
h 804
8.7%
F 563
 
6.1%
c 563
 
6.1%
i 402
 
4.3%
T 402
 
4.3%
g 402
 
4.3%
Other values (6) 1782
19.2%
Common
ValueCountFrequency (%)
1206
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10486
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 1454
13.9%
1206
11.5%
s 1052
10.0%
a 1052
10.0%
n 804
 
7.7%
h 804
 
7.7%
F 563
 
5.4%
c 563
 
5.4%
i 402
 
3.8%
T 402
 
3.8%
Other values (7) 2184
20.8%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
2024-01-01T21:25:48.662750image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Length

Max length25
Median length25
Mean length24.29847909
Min length19

Characters and Unicode

Total characters25562
Distinct characters23
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowTheir voice changes
2nd rowThey avoid looking at you
3rd rowThe vibes I get from them
4th rowThe vibes I get from them
5th rowThe vibes I get from them
ValueCountFrequency (%)
the 674
11.8%
vibes 674
11.8%
i 674
11.8%
get 674
11.8%
from 674
11.8%
them 674
11.8%
they 255
 
4.5%
avoid 255
 
4.5%
looking 255
 
4.5%
at 255
 
4.5%
Other values (4) 624
11.0%
2024-01-01T21:25:49.734669image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4636
18.1%
e 3320
13.0%
h 1849
 
7.2%
o 1817
 
7.1%
t 1603
 
6.3%
i 1430
 
5.6%
m 1348
 
5.3%
T 1052
 
4.1%
v 1052
 
4.1%
g 1052
 
4.1%
Other values (13) 6403
25.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 19200
75.1%
Space Separator 4636
 
18.1%
Uppercase Letter 1726
 
6.8%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 3320
17.3%
h 1849
9.6%
o 1817
9.5%
t 1603
 
8.3%
i 1430
 
7.4%
m 1348
 
7.0%
v 1052
 
5.5%
g 1052
 
5.5%
r 797
 
4.2%
s 797
 
4.2%
Other values (10) 4135
21.5%
Uppercase Letter
ValueCountFrequency (%)
T 1052
61.0%
I 674
39.0%
Space Separator
ValueCountFrequency (%)
4636
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 20926
81.9%
Common 4636
 
18.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 3320
15.9%
h 1849
 
8.8%
o 1817
 
8.7%
t 1603
 
7.7%
i 1430
 
6.8%
m 1348
 
6.4%
T 1052
 
5.0%
v 1052
 
5.0%
g 1052
 
5.0%
r 797
 
3.8%
Other values (12) 5606
26.8%
Common
ValueCountFrequency (%)
4636
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 25562
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4636
18.1%
e 3320
13.0%
h 1849
 
7.2%
o 1817
 
7.1%
t 1603
 
6.3%
i 1430
 
5.6%
m 1348
 
5.3%
T 1052
 
4.1%
v 1052
 
4.1%
g 1052
 
4.1%
Other values (13) 6403
25.0%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
2024-01-01T21:25:50.494636image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Length

Max length38
Median length32
Mean length31.36882129
Min length30

Characters and Unicode

Total characters33000
Distinct characters22
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowI say "it's great to hear your voice!"
2nd rowI say "it's great to hear your voice!"
3rd rowI say "it's great to see you!"
4th rowI give them a hug or a handshake
5th rowI say "it's great to see you!"
ValueCountFrequency (%)
i 1052
13.3%
a 968
12.2%
say 568
 
7.2%
it's 568
 
7.2%
great 568
 
7.2%
to 568
 
7.2%
see 509
 
6.4%
you 509
 
6.4%
give 484
 
6.1%
them 484
 
6.1%
Other values (6) 1629
20.6%
2024-01-01T21:25:51.322161image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6855
20.8%
e 3156
 
9.6%
a 3131
 
9.5%
t 2188
 
6.6%
s 2129
 
6.5%
h 1995
 
6.0%
o 1679
 
5.1%
g 1536
 
4.7%
r 1170
 
3.5%
y 1136
 
3.4%
Other values (12) 8025
24.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 22821
69.2%
Space Separator 6855
 
20.8%
Other Punctuation 2272
 
6.9%
Uppercase Letter 1052
 
3.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 3156
13.8%
a 3131
13.7%
t 2188
9.6%
s 2129
9.3%
h 1995
8.7%
o 1679
7.4%
g 1536
6.7%
r 1170
 
5.1%
y 1136
 
5.0%
i 1111
 
4.9%
Other values (7) 3590
15.7%
Other Punctuation
ValueCountFrequency (%)
" 1136
50.0%
! 568
25.0%
' 568
25.0%
Space Separator
ValueCountFrequency (%)
6855
100.0%
Uppercase Letter
ValueCountFrequency (%)
I 1052
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 23873
72.3%
Common 9127
 
27.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 3156
13.2%
a 3131
13.1%
t 2188
9.2%
s 2129
8.9%
h 1995
8.4%
o 1679
 
7.0%
g 1536
 
6.4%
r 1170
 
4.9%
y 1136
 
4.8%
i 1111
 
4.7%
Other values (8) 4642
19.4%
Common
ValueCountFrequency (%)
6855
75.1%
" 1136
 
12.4%
! 568
 
6.2%
' 568
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6855
20.8%
e 3156
 
9.6%
a 3131
 
9.5%
t 2188
 
6.6%
s 2129
 
6.5%
h 1995
 
6.0%
o 1679
 
5.1%
g 1536
 
4.7%
r 1170
 
3.5%
y 1136
 
3.4%
Other values (12) 8025
24.3%
Distinct190
Distinct (%)65.1%
Missing760
Missing (%)72.2%
Memory size8.3 KiB
2024-01-01T21:25:52.342735image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Length

Max length818
Median length234
Mean length43.7260274
Min length1

Characters and Unicode

Total characters12768
Distinct characters74
Distinct categories12 ?
Distinct scripts2 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique158 ?
Unique (%)54.1%

Sample

1st rowno
2nd row-
3rd rowImprove their learning style
4th rowno have. perfect
5th rowit’s nice
ValueCountFrequency (%)
to 90
 
3.9%
i 85
 
3.7%
the 64
 
2.8%
52
 
2.2%
no 47
 
2.0%
learning 47
 
2.0%
online 41
 
1.8%
and 40
 
1.7%
good 36
 
1.5%
is 35
 
1.5%
Other values (650) 1788
76.9%
2024-01-01T21:25:53.626293image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2076
16.3%
e 1283
 
10.0%
t 934
 
7.3%
o 880
 
6.9%
n 858
 
6.7%
s 725
 
5.7%
a 696
 
5.5%
i 674
 
5.3%
r 544
 
4.3%
l 432
 
3.4%
Other values (64) 3666
28.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10013
78.4%
Space Separator 2076
 
16.3%
Uppercase Letter 345
 
2.7%
Other Punctuation 238
 
1.9%
Dash Punctuation 39
 
0.3%
Decimal Number 20
 
0.2%
Other Symbol 12
 
0.1%
Currency Symbol 12
 
0.1%
Control 7
 
0.1%
Close Punctuation 3
 
< 0.1%
Other values (2) 3
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 1283
12.8%
t 934
 
9.3%
o 880
 
8.8%
n 858
 
8.6%
s 725
 
7.2%
a 696
 
7.0%
i 674
 
6.7%
r 544
 
5.4%
l 432
 
4.3%
h 411
 
4.1%
Other values (17) 2576
25.7%
Uppercase Letter
ValueCountFrequency (%)
I 94
27.2%
N 65
18.8%
T 34
 
9.9%
O 19
 
5.5%
S 19
 
5.5%
G 18
 
5.2%
M 12
 
3.5%
F 11
 
3.2%
L 10
 
2.9%
A 9
 
2.6%
Other values (13) 54
15.7%
Other Punctuation
ValueCountFrequency (%)
. 126
52.9%
, 59
24.8%
' 23
 
9.7%
? 14
 
5.9%
! 7
 
2.9%
/ 4
 
1.7%
; 2
 
0.8%
: 2
 
0.8%
% 1
 
0.4%
Decimal Number
ValueCountFrequency (%)
0 7
35.0%
1 4
20.0%
4 2
 
10.0%
6 2
 
10.0%
9 2
 
10.0%
3 2
 
10.0%
5 1
 
5.0%
Space Separator
ValueCountFrequency (%)
2076
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 39
100.0%
Other Symbol
ValueCountFrequency (%)
â„¢ 12
100.0%
Currency Symbol
ValueCountFrequency (%)
€ 12
100.0%
Control
ValueCountFrequency (%)
7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10358
81.1%
Common 2410
 
18.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 1283
12.4%
t 934
 
9.0%
o 880
 
8.5%
n 858
 
8.3%
s 725
 
7.0%
a 696
 
6.7%
i 674
 
6.5%
r 544
 
5.3%
l 432
 
4.2%
h 411
 
4.0%
Other values (40) 2921
28.2%
Common
ValueCountFrequency (%)
2076
86.1%
. 126
 
5.2%
, 59
 
2.4%
- 39
 
1.6%
' 23
 
1.0%
? 14
 
0.6%
â„¢ 12
 
0.5%
€ 12
 
0.5%
! 7
 
0.3%
0 7
 
0.3%
Other values (14) 35
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12732
99.7%
Letterlike Symbols 12
 
0.1%
None 12
 
0.1%
Currency Symbols 12
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2076
16.3%
e 1283
 
10.1%
t 934
 
7.3%
o 880
 
6.9%
n 858
 
6.7%
s 725
 
5.7%
a 696
 
5.5%
i 674
 
5.3%
r 544
 
4.3%
l 432
 
3.4%
Other values (61) 3630
28.5%
Letterlike Symbols
ValueCountFrequency (%)
â„¢ 12
100.0%
None
ValueCountFrequency (%)
â 12
100.0%
Currency Symbols
ValueCountFrequency (%)
€ 12
100.0%

Faculty
Text

MISSING 

Distinct492
Distinct (%)48.1%
Missing29
Missing (%)2.8%
Memory size8.3 KiB
2024-01-01T21:25:54.237602image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Length

Max length74
Median length44
Mean length22.8172043
Min length2

Characters and Unicode

Total characters23342
Distinct characters55
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique322 ?
Unique (%)31.5%

Sample

1st rowFsktm
2nd rowFSKTM
3rd rowEducation
4th rowLaw
5th rowFCSIT
ValueCountFrequency (%)
and 338
 
10.7%
faculty 271
 
8.6%
of 262
 
8.3%
science 166
 
5.3%
computer 105
 
3.3%
business 104
 
3.3%
information 86
 
2.7%
technology 86
 
2.7%
accountancy 85
 
2.7%
engineering 73
 
2.3%
Other values (217) 1569
49.9%
2024-01-01T21:25:55.215087image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2337
 
10.0%
n 1939
 
8.3%
a 1772
 
7.6%
i 1566
 
6.7%
c 1522
 
6.5%
e 1479
 
6.3%
o 1186
 
5.1%
t 1130
 
4.8%
s 899
 
3.9%
u 892
 
3.8%
Other values (45) 8620
36.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 16894
72.4%
Uppercase Letter 4037
 
17.3%
Space Separator 2337
 
10.0%
Other Punctuation 54
 
0.2%
Open Punctuation 8
 
< 0.1%
Close Punctuation 8
 
< 0.1%
Decimal Number 4
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
n 1939
11.5%
a 1772
10.5%
i 1566
9.3%
c 1522
9.0%
e 1479
 
8.8%
o 1186
 
7.0%
t 1130
 
6.7%
s 899
 
5.3%
u 892
 
5.3%
l 721
 
4.3%
Other values (14) 3788
22.4%
Uppercase Letter
ValueCountFrequency (%)
A 523
13.0%
S 512
12.7%
F 391
9.7%
I 351
8.7%
C 334
8.3%
E 314
 
7.8%
T 280
 
6.9%
M 211
 
5.2%
N 177
 
4.4%
B 136
 
3.4%
Other values (13) 808
20.0%
Decimal Number
ValueCountFrequency (%)
1 2
50.0%
2 1
25.0%
4 1
25.0%
Other Punctuation
ValueCountFrequency (%)
& 43
79.6%
, 11
 
20.4%
Space Separator
ValueCountFrequency (%)
2337
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 20931
89.7%
Common 2411
 
10.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
n 1939
 
9.3%
a 1772
 
8.5%
i 1566
 
7.5%
c 1522
 
7.3%
e 1479
 
7.1%
o 1186
 
5.7%
t 1130
 
5.4%
s 899
 
4.3%
u 892
 
4.3%
l 721
 
3.4%
Other values (37) 7825
37.4%
Common
ValueCountFrequency (%)
2337
96.9%
& 43
 
1.8%
, 11
 
0.5%
( 8
 
0.3%
) 8
 
0.3%
1 2
 
0.1%
2 1
 
< 0.1%
4 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 23342
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2337
 
10.0%
n 1939
 
8.3%
a 1772
 
7.6%
i 1566
 
6.7%
c 1522
 
6.5%
e 1479
 
6.3%
o 1186
 
5.1%
t 1130
 
4.8%
s 899
 
3.9%
u 892
 
3.8%
Other values (45) 8620
36.9%

Department
Text

MISSING 

Distinct562
Distinct (%)54.9%
Missing29
Missing (%)2.8%
Memory size8.3 KiB
2024-01-01T21:25:55.901834image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Length

Max length60
Median length43
Mean length16.35288368
Min length1

Characters and Unicode

Total characters16729
Distinct characters69
Distinct categories10 ?
Distinct scripts2 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique401 ?
Unique (%)39.2%

Sample

1st rowIs
2nd rowInformation System
3rd rowLanguage and literacy education
4th rowLaw
5th rowIS
ValueCountFrequency (%)
information 91
 
4.3%
of 81
 
3.8%
and 77
 
3.6%
engineering 76
 
3.6%
department 65
 
3.1%
architecture 55
 
2.6%
system 51
 
2.4%
administration 43
 
2.0%
chemical 43
 
2.0%
41
 
1.9%
Other values (334) 1508
70.8%
2024-01-01T21:25:57.091118image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
n 1428
 
8.5%
a 1304
 
7.8%
1296
 
7.7%
i 1279
 
7.6%
e 1226
 
7.3%
t 935
 
5.6%
o 800
 
4.8%
r 680
 
4.1%
s 675
 
4.0%
c 671
 
4.0%
Other values (59) 6435
38.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 12227
73.1%
Uppercase Letter 3067
 
18.3%
Space Separator 1296
 
7.7%
Dash Punctuation 37
 
0.2%
Decimal Number 30
 
0.2%
Other Punctuation 26
 
0.2%
Close Punctuation 22
 
0.1%
Open Punctuation 22
 
0.1%
Currency Symbol 1
 
< 0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
n 1428
11.7%
a 1304
10.7%
i 1279
10.5%
e 1226
10.0%
t 935
 
7.6%
o 800
 
6.5%
r 680
 
5.6%
s 675
 
5.5%
c 671
 
5.5%
m 549
 
4.5%
Other values (17) 2680
21.9%
Uppercase Letter
ValueCountFrequency (%)
S 402
13.1%
A 375
12.2%
I 323
10.5%
E 309
10.1%
C 175
 
5.7%
N 164
 
5.3%
M 163
 
5.3%
T 163
 
5.3%
D 145
 
4.7%
B 126
 
4.1%
Other values (15) 722
23.5%
Other Punctuation
ValueCountFrequency (%)
& 17
65.4%
, 3
 
11.5%
. 2
 
7.7%
? 2
 
7.7%
' 1
 
3.8%
# 1
 
3.8%
Decimal Number
ValueCountFrequency (%)
4 10
33.3%
2 9
30.0%
1 7
23.3%
0 3
 
10.0%
3 1
 
3.3%
Space Separator
ValueCountFrequency (%)
1296
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 37
100.0%
Close Punctuation
ValueCountFrequency (%)
) 22
100.0%
Open Punctuation
ValueCountFrequency (%)
( 22
100.0%
Currency Symbol
ValueCountFrequency (%)
€ 1
100.0%
Other Symbol
ValueCountFrequency (%)
â„¢ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 15294
91.4%
Common 1435
 
8.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
n 1428
 
9.3%
a 1304
 
8.5%
i 1279
 
8.4%
e 1226
 
8.0%
t 935
 
6.1%
o 800
 
5.2%
r 680
 
4.4%
s 675
 
4.4%
c 671
 
4.4%
m 549
 
3.6%
Other values (42) 5747
37.6%
Common
ValueCountFrequency (%)
1296
90.3%
- 37
 
2.6%
) 22
 
1.5%
( 22
 
1.5%
& 17
 
1.2%
4 10
 
0.7%
2 9
 
0.6%
1 7
 
0.5%
0 3
 
0.2%
, 3
 
0.2%
Other values (7) 9
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 16726
> 99.9%
None 1
 
< 0.1%
Currency Symbols 1
 
< 0.1%
Letterlike Symbols 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
n 1428
 
8.5%
a 1304
 
7.8%
1296
 
7.7%
i 1279
 
7.6%
e 1226
 
7.3%
t 935
 
5.6%
o 800
 
4.8%
r 680
 
4.1%
s 675
 
4.0%
c 671
 
4.0%
Other values (56) 6432
38.5%
None
ValueCountFrequency (%)
â 1
100.0%
Currency Symbols
ValueCountFrequency (%)
€ 1
100.0%
Letterlike Symbols
ValueCountFrequency (%)
â„¢ 1
100.0%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
2024-01-01T21:25:57.401548image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Length

Max length11
Median length6
Mean length7.633079848
Min length6

Characters and Unicode

Total characters8030
Distinct characters17
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowVisual
2nd rowVisual
3rd rowVisual
4th rowVisual
5th rowAuditory
ValueCountFrequency (%)
visual 538
51.1%
auditory 284
27.0%
kinesthetic 230
21.9%
2024-01-01T21:25:58.177039image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
i 1282
16.0%
u 822
10.2%
s 768
9.6%
t 744
9.3%
l 538
 
6.7%
V 538
 
6.7%
a 538
 
6.7%
e 460
 
5.7%
A 284
 
3.5%
d 284
 
3.5%
Other values (7) 1772
22.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 6978
86.9%
Uppercase Letter 1052
 
13.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
i 1282
18.4%
u 822
11.8%
s 768
11.0%
t 744
10.7%
l 538
7.7%
a 538
7.7%
e 460
 
6.6%
d 284
 
4.1%
o 284
 
4.1%
r 284
 
4.1%
Other values (4) 974
14.0%
Uppercase Letter
ValueCountFrequency (%)
V 538
51.1%
A 284
27.0%
K 230
21.9%

Most occurring scripts

ValueCountFrequency (%)
Latin 8030
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
i 1282
16.0%
u 822
10.2%
s 768
9.6%
t 744
9.3%
l 538
 
6.7%
V 538
 
6.7%
a 538
 
6.7%
e 460
 
5.7%
A 284
 
3.5%
d 284
 
3.5%
Other values (7) 1772
22.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8030
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
i 1282
16.0%
u 822
10.2%
s 768
9.6%
t 744
9.3%
l 538
 
6.7%
V 538
 
6.7%
a 538
 
6.7%
e 460
 
5.7%
A 284
 
3.5%
d 284
 
3.5%
Other values (7) 1772
22.1%